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PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
14 years 3 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
ICDM
2007
IEEE
173views Data Mining» more  ICDM 2007»
14 years 3 months ago
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models
Statistical topic models such as the Latent Dirichlet Allocation (LDA) have emerged as an attractive framework to model, visualize and summarize large document collections in a co...
Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eri...
ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
14 years 3 months ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan
GFKL
2006
Springer
89views Data Mining» more  GFKL 2006»
14 years 23 days ago
The Relationship of Word Length and Sentence Length: The Inter-Textual Perspective
The present study concentrates on the relation between sentence length (SL) and word length (WL) as a possible factor in text classification. The dependence of WL and SL is discuss...
Peter Grzybek, Ernst Stadlober, Emmerich Kelih
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
11 years 11 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing