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	<title><![CDATA[bayesian Resources | BNET]]></title>
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	<description><![CDATA[White papers, case studies, business articles, and blog posts relating to bayesian]]></description>
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		<title><![CDATA[New Book Provides a Collection of the Important Papers Dealing with the Theory and Application of Bayesian Bounds]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_m0EIN/is_2008_Jan_23/ai_n24221083]]></link>
		<description><![CDATA[DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c80253) has announced the addition of Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking to their offering.  Bayesian Bounds provides a collection of the important papers dealing with the theory and application of Bayesian bounds. The book is essential to both engineers and...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Wed, 23 Jan 2008 23:59:59 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/c3i+inc..html"><![CDATA[C3i Inc.]]></category>
		<category domain="http://resources.bnet.com/topic/george+mason+university.html"><![CDATA[George Mason University]]></category>
		<category domain="http://resources.bnet.com/topic/theory.html"><![CDATA[theory]]></category>
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	</item>
	<item>
		<title><![CDATA[New Book Provides a Collection of the Important Papers Dealing with the Theory and Application of Bayesian Bounds.]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_hb5243/is_200801/ai_n25243056]]></link>
		<description><![CDATA[M2 PRESSWIRE-22 January 2008-Research and Markets: New Book  Provides a Collection of the Important Papers Dealing with the Theory  and Application of Bayesian BoundsC1994-2008 M2 COMMUNICATIONS LTD     RDATE:23012008     Dublin - Research and Markets  (http://www.researchandmarkets.com/reports/c80256) has announced the  addition...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Tue, 22 Jan 2008 23:59:59 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/george+mason+university.html"><![CDATA[George Mason University]]></category>
		<category domain="http://resources.bnet.com/topic/theory.html"><![CDATA[theory]]></category>
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	</item>
	<item>
		<title><![CDATA[Safety Impacts of "Road Diets" in Iowa]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_qa3734/is_200612/ai_n17192501]]></link>
		<description><![CDATA[ROAD DIETS ARE FREQUENTLY SUGGESTED SOLUTIONS TO PROBLEMS OP LEPT-TURN RELATED CRASHES. THIS FEATURE ANALYZES THE IMPACT OF THE CONVERSION OF 15 SITES USING A PULL BAYES APPROACH AS WILL AS A CLASSICAL BEFORE-AND-AFTER STUDY WITH YOKED COMPARISON SITES. THE STUDY FOUND A REIDUCTION IN THE CRASH RATE, CRASH DENSITY,...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Fri, 01 Dec 2006 23:59:59 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/iowa.html"><![CDATA[Iowa]]></category>
		<category domain="http://resources.bnet.com/topic/iowa+state+university.html"><![CDATA[Iowa State University]]></category>
		<category domain="http://resources.bnet.com/topic/transportation.html"><![CDATA[Transportation]]></category>
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	<item>
		<title><![CDATA[2 Bayesian prediction, entropy, and option pricing]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_hb6476/is_2_31/ai_n29329423]]></link>
		<description><![CDATA[Abstract: This paper studies the performance of the Foster-Whiteman (1999) procedure for using a Bayesian predictive distribution for the future price of an asset to compute the price of a European option on that asset. A technical contribution of the paper is the description of a sequential importance sampling procedure...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Fri, 01 Dec 2006 23:59:59 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/chicago+board+of+trade.html"><![CDATA[Chicago Board of Trade]]></category>
		<category domain="http://resources.bnet.com/topic/marketing.html"><![CDATA[MARKETING]]></category>
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	<item>
		<title><![CDATA[Introduction to Nonparametric Regression]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_hb5859/is_200604/ai_n23806558]]></link>
		<description><![CDATA[Introduction to Nonparametric Regression by Kunio Takezawa. John Wiley &amp; Sons, Inc., Hoboken, New Jersey, 2006. xviii + 568 pp. $110.THE SMOOTHING of data to discern an underlying curve or surface is a problem that has been with us as long as people have been examining time series or scatter...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Sat, 01 Apr 2006 23:59:59 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/npr.html"><![CDATA[NPR]]></category>
		<category domain="http://resources.bnet.com/topic/regression.html"><![CDATA[regression]]></category>
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		<title><![CDATA[Dynamic Inventory Management With Learning About The Demand Distribution]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=275982]]></link>
		<description><![CDATA[A well-known result in the Bayesian inventory management literature is: if lost sales are not observed, the Bayesian optimal inventory level is larger than the myopic inventory level. It has been proven under the assumption that inventory is perishable, so the myopic inventory level is equal to the Bayesian optimal...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 30 Jan 2006 00:00:00 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/inventory.html"><![CDATA[Inventory]]></category>
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		<title><![CDATA[PHYLOGENETIC RELATIONSHIPS OF THE MADAGASCAR PYGMY KINGFISHER (ISPIDINA MADAGASCARIENSIS)]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_qa3793/is_200510/ai_n15935657]]></link>
		<description><![CDATA[ABSTRACT.-The avifauna of Madagascar presents a complicated taxonomic and biogeographic problem. Although Madagascar was once connected to Africa, the birds of the island are not all of African origin. The Madagascar Pygmy Kingfisher Ispidina madagascariensis is sometimes placed in the African genus Ispidina and sometimes in the Southeast Asian genus...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Sat, 01 Oct 2005 23:59:59 -0700</pubDate>
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		<title><![CDATA[Document image analysis by probabilistic network and circuit diagram extraction]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_m5DMT/is_3_29/ai_n25120994]]></link>
		<description><![CDATA[The paper presents a hierarchical object recognition system for document processing. It is based on a spatial tree structure representation and Bayesian framework. The image components are built up from lower level image components stored in a library. The tree representations of the objects are assembled from these components. A...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Sat, 01 Oct 2005 23:59:59 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/algorithm.html"><![CDATA[algorithm]]></category>
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		<title><![CDATA[Emotions, Bayesian Inference, And Financial Decision Making]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=359583]]></link>
		<description><![CDATA[This paper presents a model in which rational and emotional investors are compelled to make decisions under uncertainty in order to ensure their survival. Using a neurofinancial setting, the paper shows that, when different investor types fight for market capital, emotional traders tend not only to influence prices but also...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Sat, 01 Oct 2005 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/financial.html"><![CDATA[Financial]]></category>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
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	</item>
	<item>
		<title><![CDATA[Spike and slab gene selection for multigroup microarray data.]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_hb6596/is_200509/ai_n25991803]]></link>
		<description><![CDATA[DNA microarrays can provide insight into genetic changes that characterize different stages of a disease process. Accurate identification of these changes has significant therapeutic and diagnostic implications. Statistical analysis for multistage multigroup data is challenging, however. ANOVA-based extensions of two-sample Z-tests, a popular method for detecting differentially expressed genes in...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Thu, 01 Sep 2005 23:59:59 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/analysis.html"><![CDATA[analysis]]></category>
		<category domain="http://resources.bnet.com/topic/baseline.html"><![CDATA[baseline]]></category>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/c.html"><![CDATA[C]]></category>
		<category domain="http://resources.bnet.com/topic/cell.html"><![CDATA[cell]]></category>
		<category domain="http://resources.bnet.com/topic/g..html"><![CDATA[G.]]></category>
		<category domain="http://resources.bnet.com/topic/m..html"><![CDATA[M.]]></category>
		<category domain="http://resources.bnet.com/topic/omega.html"><![CDATA[OMEGA]]></category>
		<category domain="http://resources.bnet.com/topic/performance.html"><![CDATA[performance]]></category>
		<category domain="http://resources.bnet.com/topic/regression.html"><![CDATA[regression]]></category>
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		<category domain="http://resources.bnet.com/topic/shrinkage.html"><![CDATA[shrinkage]]></category>
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	</item>
	<item>
		<title><![CDATA[Bayesian nonparametric spatial modeling with Dirichlet process mixing.]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_hb6596/is_200509/ai_n25991829]]></link>
		<description><![CDATA[Customary modeling for continuous point-referenced data assumes a Gaussian process that is often taken to be stationary. When such models are fitted within a Bayesian framework, the unknown parameters of the process are assumed to be random, so a random Gaussian process results. Here we propose a novel spatial Dirichlet...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Thu, 01 Sep 2005 23:59:59 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/m..html"><![CDATA[M.]]></category>
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	<item>
		<title><![CDATA[Production Forecasting of Taiwan's Technology Industrial Cluster: A Bayesian Autoregression Approach]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_qa3981/is_200506/ai_n14905462]]></link>
		<description><![CDATA[AbstractThis study proposes a forecasting method that combines the clustering effect and non-informative diffuse-prior Bayesian vector autoregression NDBVAR model to forecast the productions of technology industries. Two empirical cases are examined to verify the proposed method: the semiconductor industry and computer manufacturing industry in Taiwan. It is found that the...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Wed, 01 Jun 2005 23:59:59 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/computer.html"><![CDATA[computer]]></category>
		<category domain="http://resources.bnet.com/topic/forecasting.html"><![CDATA[forecasting]]></category>
		<category domain="http://resources.bnet.com/topic/industrial+technology+research+institute.html"><![CDATA[Industrial Technology Research Institute]]></category>
		<category domain="http://resources.bnet.com/topic/sales.html"><![CDATA[SALES]]></category>
		<category domain="http://resources.bnet.com/topic/semiconductor.html"><![CDATA[semiconductor]]></category>
		<category domain="http://resources.bnet.com/topic/taiwan.html"><![CDATA[Taiwan]]></category>
	</item>
	<item>
		<title><![CDATA[Y. statisticians may help Eagles' game]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_qn4188/is_20050114/ai_n11501777]]></link>
		<description><![CDATA[PROVO -- Andy Reid, a former Brigham Young University football player who coaches the Philadelphia Eagles, hopes a couple of number- crunchers can help his bone-crunching football team dominate the NFL.   Reid has asked two BYU professors to prepare a report that statistically analyzes every play, every coach's...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Fri, 14 Jan 2005 23:59:59 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
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		<category domain="http://resources.bnet.com/topic/.html"><![CDATA[]]></category>
	</item>
	<item>
		<title><![CDATA[Simulation Input Updating Using Bayesian Techniques]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=126912]]></link>
		<description><![CDATA[Simulation built on assumption and approximation has been traditionally utilized to make predictions prior to construction. Although there are many benefits of simulation such as its capability of multiple experiments with various scenario assumptions, it may lead to erroneous predictions when simulation input data are not accurate. Long-term repetitive projects...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Thu, 11 Nov 2004 00:00:00 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/institute+for+operations+research.html"><![CDATA[Institute For Operations Research]]></category>
	</item>
	<item>
		<title><![CDATA[Who's to Blame?: A Bayesian Decomposition of Efficiency in Hierarchical Sales Organizations]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=168019]]></link>
		<description><![CDATA[An efficient and effective salesforce provides a firm with a competitive advantage in today's marketplace. An important ingredient in achieving such a salesforce is the ability to measure, evaluate and compare the performance of individual salespeople. Unfortunately, the methods available in the extant marketing and sales literature are ill-suited for...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Thu, 04 Nov 2004 00:00:00 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/sales+force.html"><![CDATA[Sales Force]]></category>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/university+of+rochester.html"><![CDATA[University Of Rochester]]></category>
		<category domain="http://resources.bnet.com/topic/sales+strategy.html"><![CDATA[Sales Strategy]]></category>
		<category domain="http://resources.bnet.com/topic/sales+force+management.html"><![CDATA[Sales Force Management]]></category>
		<category domain="http://resources.bnet.com/topic/sales.html"><![CDATA[Sales]]></category>
	</item>
	<item>
		<title><![CDATA[Measuring Disinflation Credibility in Emerging Markets: A Bayesian Approach With an Application to Turkey]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=157363]]></link>
		<description><![CDATA[Credibility is key to the success of a disinflationary program. By reducing inflationary expectations, with its attendant impact on wage and price setting behavior, a fully credible policy, in principle, can deliver a sharp drop in inflation with limited output losses. This paper presents an empirical measure of disinflation credibility...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Mon, 01 Nov 2004 00:00:00 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/credibility.html"><![CDATA[Credibility]]></category>
		<category domain="http://resources.bnet.com/topic/imf.html"><![CDATA[IMF]]></category>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/emerging+market.html"><![CDATA[Emerging Market]]></category>
		<category domain="http://resources.bnet.com/topic/turkey.html"><![CDATA[Turkey]]></category>
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		<category domain="http://resources.bnet.com/topic/marketing+research.html"><![CDATA[Marketing Research]]></category>
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	</item>
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		<title><![CDATA[Solidary and functional costs: explaining the presidential appointment contradiction.]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_hb6384/is_200410/ai_n25552300]]></link>
		<description><![CDATA[ADDRESSING A CONTRADICTION    There is a fundamental puzzle in the executive appointment  literature. Presidential and bureaucratic scholars now argue that  political appointments represent the single greatest source of  presidential influence over the bureaucracy. Yet it is easy to observe  that these executives tend...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Fri, 01 Oct 2004 23:59:59 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/administration.html"><![CDATA[administration]]></category>
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		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
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		<category domain="http://resources.bnet.com/topic/richard.html"><![CDATA[Richard]]></category>
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		<category domain="http://resources.bnet.com/topic/survey.html"><![CDATA[survey]]></category>
		<category domain="http://resources.bnet.com/topic/turnover.html"><![CDATA[turnover]]></category>
		<category domain="http://resources.bnet.com/topic/u.s.+congress.html"><![CDATA[U.S. Congress]]></category>
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	</item>
	<item>
		<title><![CDATA[Sparse Gaussian Process Classification With Multiple Classes]]></title>
		<link><![CDATA[http://jobfunctions.bnet.com/abstract.aspx?docid=121121]]></link>
		<description><![CDATA[Sparse approximations to Bayesian inference for nonparametric Gaussian Process models scale linearly in the number of training points, allowing for the application of these powerful kernel-based models to large datasets. We show how to generalize the binary classification informative vector machine IVM to multiple classes. In contrast to earlier efficient...]]></description>
		<s:doctype><![CDATA[White papers]]></s:doctype>
		<pubDate>Tue, 27 Apr 2004 00:00:00 -0700</pubDate>
		<category domain="http://resources.bnet.com/topic/university+of+california+at+berkeley.html"><![CDATA[University Of California At Berkeley]]></category>
		<category domain="http://resources.bnet.com/topic/approximation.html"><![CDATA[Approximation]]></category>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/kernel.html"><![CDATA[Kernel]]></category>
		<category domain="http://resources.bnet.com/topic/classification.html"><![CDATA[Classification]]></category>
		<category domain="http://resources.bnet.com/topic/workforce+management.html"><![CDATA[Workforce Management]]></category>
		<category domain="http://resources.bnet.com/topic/human+resources.html"><![CDATA[Human Resources]]></category>
	</item>
	<item>
		<title><![CDATA[Low carb diet: spam is on the way out.(lab data management)]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_hb4995/is_200403/ai_n18193419]]></link>
		<description><![CDATA[Ah, the good Reverend Thomas Bayes became one with the universe way  back in 1761 but that whirring noise you hear is good old Tom's  body slowly spinning in its grave. You see, Reverend Tom was not just a  Man of the Cloth, he was a statistician...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Mon, 01 Mar 2004 23:59:59 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/e-mail.html"><![CDATA[E-mail]]></category>
		<category domain="http://resources.bnet.com/topic/security.html"><![CDATA[SECURITY]]></category>
		<category domain="http://resources.bnet.com/topic/spam.html"><![CDATA[Spam]]></category>
		<category domain="http://resources.bnet.com/topic/spammer.html"><![CDATA[spammer]]></category>
		<category domain="http://resources.bnet.com/topic/u.s.+congress.html"><![CDATA[U.S. Congress]]></category>
		<category domain="http://resources.bnet.com/topic/.html"><![CDATA[]]></category>
	</item>
	<item>
		<title><![CDATA[Bayesian inference of nanoparticle-broadened x-ray line profiles]]></title>
		<link><![CDATA[http://findarticles.com/p/articles/mi_m0IKZ/is_1_109/ai_n6224692]]></link>
		<description><![CDATA[A single-step, self-contained method for determining the crystallite-size distribution and shape from experimental x-ray line profile data is presented. It is shown that the crystallite-size distribution can be determined without invoking a functional form for the size distribution, determining instead the size distribution with the least assumptions by applying the...]]></description>
		<s:doctype><![CDATA[Research articles]]></s:doctype>
		<pubDate>Thu, 01 Jan 2004 23:59:59 -0800</pubDate>
		<category domain="http://resources.bnet.com/topic/analysis.html"><![CDATA[analysis]]></category>
		<category domain="http://resources.bnet.com/topic/bayesian.html"><![CDATA[Bayesian]]></category>
		<category domain="http://resources.bnet.com/topic/kernel.html"><![CDATA[kernel]]></category>
		<category domain="http://resources.bnet.com/topic/sec.html"><![CDATA[Sec]]></category>
		<category domain="http://resources.bnet.com/topic/skilling.html"><![CDATA[Skilling]]></category>
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