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Training Products of Experts by Minimizing Contrastive Divergence

by Geoffrey E. Hinton , 2002
"... It is possible to combine multiple latent-variable models of the same data by multiplying their probability distributions together and then renormalizing. This way of combining individual “expert ” models makes it hard to generate samples from the combined model but easy to infer the values of the l ..."
Abstract - Cited by 850 (75 self) - Add to MetaCart
of the latent variables of each expert, because the combination rule ensures that the latent variables of different experts are conditionally independent when given the data. A product of experts (PoE) is therefore an interesting candidate for a perceptual system in which rapid inference is vital and generation

Efficient Mining of Emerging Patterns: Discovering Trends and Differences

by Guozhu Dong, Jinyan Li , 1999
"... We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from one dataset to another. EPs can capture emerging trends in timestamped databases, or useful contrasts between data clas ..."
Abstract - Cited by 343 (40 self) - Add to MetaCart
classes. EPs have been proven useful: we have used them to build very powerful classifiers, which are more accurate than C4.5 and CBA, for many datasets. We believe that EPs with low to medium support, such as 1%-- 20%, can give useful new insights and guidance to experts, in even "well understood

Candidates

by Richard M, Ears Price, Mf/pco Plus Postage
"... Methods that might be used to establish standards of performance that will permit the National Board for Professional Teaching Standards to classify candidate teachers as highly accomplished (worthy of National Board certification) or less than highly accomplished (not worthy of certification) are c ..."
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Methods that might be used to establish standards of performance that will permit the National Board for Professional Teaching Standards to classify candidate teachers as highly accomplished (worthy of National Board certification) or less than highly accomplished (not worthy of certification

A Method for Evaluating Candidate

by James R. Slagle, Michael R. Wick - AI MAGAZINE, WINTER , 1988
"... We built on previous work to develop an evaluation method that can be used to select expert system applications which are most likely to be successfully implemented. Both essential and desirable features of an expert system application are discussed. Essential features are used to ensure that the ap ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
that the application does not require technology beyond the state of the art. Desirable features help point to the applications that stand the greatest chance for successful implementation. Advice on helpful directions for evaluating candidate expert system applications is also given. E xpert systems are entering a

Interactive Assessment of User Preference Models: The Automated Travel Assistant

by Greg Linden, Steve Hanks, Neal Lesh - In Proceedings of the Sixth International Conference on User Modeling , 1997
"... . This paper presents the candidate/critique model of interactive problem solving, in which an automated problem solver communicates candidate solutions to the user and the user critiques those solutions. The system starts with minimal information about the user's preferences, and preferences ..."
Abstract - Cited by 174 (0 self) - Add to MetaCart
. This paper presents the candidate/critique model of interactive problem solving, in which an automated problem solver communicates candidate solutions to the user and the user critiques those solutions. The system starts with minimal information about the user's preferences, and preferences

Non-local evidence for expert finding

by Krisztian Balog, Maarten de Rijke - IN ACM 17TH CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGMENT (CIKM 2008 , 2008
"... The task addressed in this paper, finding experts in an enterprise setting, has gained in importance and interest over the past few years. Commonly, this task is approached as an association finding exercise between people and topics. Existing techniques use either documents (as a whole) or proximit ..."
Abstract - Cited by 8 (2 self) - Add to MetaCart
) or proximity-based techniques to represent candidate experts. Proximity-based techniques have shown clear precision-enhancing benefits. We complement both document and proximity-based approaches to expert finding by importing global evidence of expertise, i.e., evidence obtained using information

Combining Candidate and Document Models for Expert Search

by Krisztian Balog, Maarten De Rijke
"... Abstract: We describe our participation in the TREC 2008 Enterprise track and detail our language modeling-based approaches. For document search, our focus was on query expansion using profiles of top ranked experts and on document priors. We found that these techniques result in small, but noticeab ..."
Abstract - Cited by 6 (1 self) - Add to MetaCart
, but noticeable improvements over our baseline method. For expert search, we combine candidate- and document-based models, and also bring in web evidence. We found that the combined models significantly and consistently outperformed our very competitive baseline models. 1

C.: Probabilistic models for expert finding

by Hui Fang, Chengxiang Zhai - In: ECIR , 2007
"... Abstract. A common task in many applications is to find persons who are knowledgeable about a given topic (i.e., expert finding). In this paper, we propose and develop a general probabilistic framework for studying expert finding problem and derive two families of generative models (candidate genera ..."
Abstract - Cited by 76 (3 self) - Add to MetaCart
Abstract. A common task in many applications is to find persons who are knowledgeable about a given topic (i.e., expert finding). In this paper, we propose and develop a general probabilistic framework for studying expert finding problem and derive two families of generative models (candidate

in the CEE Candidate Countries

by Members Steffen Abele, Klaus Frohberg, Monika Hartmann, Alan Matthews, Peter Weingarten, William H. Meyers, Czech Republic, Françoise Simon, Tomas Ratinger, Jerzy Michalek, Tibor Ferenczi, Jernej Turk, Romenia Graham, E. Dalton, Crina Sinziana Turtoi, Maria Magdolna Vincze, Bulgaria Plamen, Dimitrov Mishev, Nedka Momtscheva Ivanova, Sophia Davidova , 2004
"... This Assessment Report is based on information provided by the country experts of the ..."
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This Assessment Report is based on information provided by the country experts of the

Doctoral candidate

by Hao Tan, John A. Mathews, Hao Tan, John A. Mathews , 2007
"... In this paper we offer a procedure to identify the industry cycles, and apply the procedure to the industrial data of three industries, namely semiconductors, PCs and FPDs. The identified cycles enable us to conduct two comparison analyses: (1) comparing the cycles with those suggested by industry e ..."
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experts in the corresponding industries; (2) comparing the industry cycles across the three industries. Moreover, we examine the factors possibly contributing to the cyclical dynamics of the industries built on three lines of explanations in the literature. Our vector auto regression (VAR) models
Results 1 - 10 of 786