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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 11 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
SIGIR
2010
ACM
13 years 11 months ago
Personalizing information retrieval for multi-session tasks: the roles of task stage and task type
Dwell time as a user behavior has been found in previous studies to be an unreliable predictor of document usefulness, with contextual factors such as the user’s task needing to...
Jingjing Liu, Nicholas J. Belkin
ASIAN
2004
Springer
153views Algorithms» more  ASIAN 2004»
13 years 11 months ago
Chi-Square Matrix: An Approach for Building-Block Identification
This paper presents a line of research in genetic algorithms (GAs), called building-block identification. The building blocks (BBs) are common structures inferred from a set of sol...
Chatchawit Aporntewan, Prabhas Chongstitvatana
AAAI
2008
13 years 9 months ago
POIROT - Integrated Learning of Web Service Procedures
POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
Mark H. Burstein, Robert Laddaga, David McDonald, ...
AIPS
1998
13 years 8 months ago
Solving Stochastic Planning Problems with Large State and Action Spaces
Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
Thomas Dean, Robert Givan, Kee-Eung Kim