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    SDM
    2008
    SIAM
    134views Data Mining» more  SDM 2008»
    Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
    13 years 9 months ago
    Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
    Download  sugiyama-www.cs.titech.ac.jp
    Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
    Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
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    NIPS
    2007
    146views Information Technology» more  NIPS 2007»
    Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
    13 years 9 months ago
    Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
    Download  books.nips.cc
    We present an algorithm called Optimistic Linear Programming (OLP) for learning to optimize average reward in an irreducible but otherwise unknown Markov decision process (MDP). O...
    Ambuj Tewari, Peter L. Bartlett
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    AAAI
    2006
    235views Intelligent Agents» more  AAAI 2006»
    OntoSearch: A Full-Text Search Engine for the Semantic Web
    13 years 9 months ago
    OntoSearch: A Full-Text Search Engine for the Semantic Web
    Download  www.aaai.org
    OntoSearch, a full-text search engine that exploits ontological knowledge for document retrieval, is presented in this paper. Different from other ontology based search engines, O...
    Xing Jiang, Ah-Hwee Tan
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    DMIN
    2006
    134views Data Mining» more  DMIN 2006»
    Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
    13 years 9 months ago
    Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
    Download  ect.bell-labs.com
    The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
    Iryna Skrypnyk, Tin Kam Ho
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    NAACL
    2004
    112views Computational Linguistics» more  NAACL 2004»
    Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources
    13 years 9 months ago
    Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources
    Download  acl.ldc.upenn.edu
    We examine the utility of multiple types of turn-level and contextual linguistic features for automatically predicting student emotions in human-human spoken tutoring dialogues. W...
    Katherine Forbes-Riley, Diane J. Litman
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