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» Latent Variable Models of Selectional Preference
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ESANN
2006
13 years 6 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
LREC
2010
196views Education» more  LREC 2010»
13 years 6 months ago
An Evaluation of Predicate Argument Clustering using Pseudo-Disambiguation
Schulte im Walde et al. (2008) presented a novel approach to semantic verb classication. The predicate argument model (PAC) presented in their paper models selectional preferences...
Christian Scheible
GECCO
2003
Springer
108views Optimization» more  GECCO 2003»
13 years 10 months ago
Sexual Selection of Co-operation
Advocates of sexual selection theory have argued that various male traits, such as male co-operative behavior towards females, can evolve through female preference for mating with ...
Muhammad Afzal Upal
BMCBI
2008
118views more  BMCBI 2008»
13 years 5 months ago
Inferring transcriptional compensation interactions in yeast via stepwise structure equation modeling
Background: With the abundant information produced by microarray technology, various approaches have been proposed to infer transcriptional regulatory networks. However, few appro...
Grace S. Shieh, Chung-Ming Chen, Ching-Yun Yu, Jui...
ICDE
2009
IEEE
115views Database» more  ICDE 2009»
14 years 7 months ago
Efficient Evaluation of Multiple Preference Queries
Consider multiple users searching for a hotel room, based on size, cost, distance to the beach, etc. Users may have variable preferences expressed by different weights on the attri...
Leong Hou U, Nikos Mamoulis, Kyriakos Mouratidis