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» A Partial-Repeatability Approach to Data Mining
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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 2 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
SDM
2010
SIAM
168views Data Mining» more  SDM 2010»
15 years 2 months ago
Convex Principal Feature Selection
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, J...
EDM
2009
147views Data Mining» more  EDM 2009»
15 years 1 months ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck
ICDM
2009
IEEE
111views Data Mining» more  ICDM 2009»
15 years 1 months ago
To Trust or Not to Trust? Predicting Online Trusts Using Trust Antecedent Framework
This paper analyzes the trustor and trustee factors that lead to inter-personal trust using a well studied Trust Antecedent framework in management science [10]. To apply these fac...
Viet-An Nguyen, Ee-Peng Lim, Jing Jiang, Aixin Sun
COLING
2010
14 years 11 months ago
Resolving Surface Forms to Wikipedia Topics
Ambiguity of entity mentions and concept references is a challenge to mining text beyond surface-level keywords. We describe an effective method of disambiguating surface forms an...
Yiping Zhou, Lan Nie, Omid Rouhani-Kalleh, Flavian...