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98
Voted
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 1 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
AAAI
2008
15 years 2 months ago
Automatic Semantic Relation Extraction with Multiple Boundary Generation
This paper addresses the task of automatic classification of semantic relations between nouns. We present an improved WordNet-based learning model which relies on the semantic inf...
Brandon Beamer, Alla Rozovskaya, Roxana Girju
127
Voted
ICML
2010
IEEE
15 years 1 months ago
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
Tobias Lang, Marc Toussaint
109
Voted
ICALT
2007
IEEE
15 years 2 months ago
Semantic Relation Analysis and Its Application in Cognitive Profiling
Semantic web is an emerging paradigm that has great potential for the management of web content in a meaningful manner. With more and more semantic information appended to web, th...
Taiyu Lin, Kinshuk, Sabine Graf
102
Voted
ICML
2009
IEEE
16 years 1 months ago
Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties
We describe an algorithm for constructing a set of acyclic conjunctive relational features by combining smaller conjunctive blocks. Unlike traditional level-wise approaches which ...
Filip Zelezný, Ondrej Kuzelka