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» Learning with Knowledge from Multiple Experts
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FCSC
2010
238views more  FCSC 2010»
13 years 8 months ago
Knowledge discovery through directed probabilistic topic models: a survey
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
CONSTRAINTS
1998
62views more  CONSTRAINTS 1998»
13 years 10 months ago
Learning Game-Specific Spatially-Oriented Heuristics
This paper describes an architecture that begins with enough general knowledge to play any board game as a novice, and then shifts its decision-making emphasis to learned, game-sp...
Susan L. Epstein, Jack Gelfand, Esther Lock
JAIR
2000
102views more  JAIR 2000»
13 years 10 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
BIRTHDAY
2004
Springer
14 years 4 months ago
Knowledge Sharing in Agile Software Teams
Abstract. Traditionally, software development teams follow Tayloristic approaches favoring division of labor and, hence, the use of role-based teams. Role-based teams require the t...
Thomas Chau, Frank Maurer
AI
1998
Springer
14 years 3 months ago
Sequential Instance-Based Learning
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...
Susan L. Epstein, Jenngang Shih