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PKDD
2009
Springer
149views Data Mining» more  PKDD 2009»
13 years 11 months ago
Learning to Disambiguate Search Queries from Short Sessions
Web searches tend to be short and ambiguous. It is therefore not surprising that Web query disambiguation is an actively researched topic. To provide a personalized experience for ...
Lilyana Mihalkova, Raymond J. Mooney
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
13 years 11 months ago
Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling
This paper presents an interdisciplinary investigation of statistical information retrieval (IR) techniques for protein identification from tandem mass spectra, a challenging probl...
Yiming Yang, Abhay Harpale, Subramaniam Ganapathy
PKDD
2009
Springer
117views Data Mining» more  PKDD 2009»
13 years 11 months ago
New Regularized Algorithms for Transductive Learning
Abstract. We propose a new graph-based label propagation algorithm for transductive learning. Each example is associated with a vertex in an undirected graph and a weighted edge be...
Partha Pratim Talukdar, Koby Crammer
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
13 years 11 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
PKDD
2009
Springer
94views Data Mining» more  PKDD 2009»
13 years 11 months ago
OTTHO: On the Tip of My THOught
In this paper we propose a system to solve a language game, called Guillotine, which requires a player with a strong cultural and linguistic background knowledge. The player obser...
Pierpaolo Basile, Marco Degemmis, Pasquale Lops, G...
PKDD
2009
Springer
150views Data Mining» more  PKDD 2009»
13 years 11 months ago
Omiotis: A Thesaurus-Based Measure of Text Relatedness
In this paper we present a new approach for measuring the relatedness between text segments, based on implicit semantic links between their words, as offered by a word thesaurus, n...
George Tsatsaronis, Iraklis Varlamis, Michalis Vaz...
PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
13 years 11 months ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano
PKDD
2009
Springer
175views Data Mining» more  PKDD 2009»
13 years 11 months ago
Latent Dirichlet Bayesian Co-Clustering
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey