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ICML
2007
IEEE
16 years 5 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
ICML
2005
IEEE
16 years 5 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky
WWW
2001
ACM
16 years 5 months ago
Learning search engine specific query transformations for question answering
We introduce a method for learning query transformations that improves the ability to retrieve answers to questions from an information retrieval system. During the training stage...
Eugene Agichtein, Steve Lawrence, Luis Gravano
STOC
2009
ACM
106views Algorithms» more  STOC 2009»
16 years 5 months ago
On proximity oblivious testing
We initiate a systematic study of a special type of property testers. These testers consist of repeating a basic test for a number of times that depends on the proximity parameter...
Oded Goldreich, Dana Ron
KDD
2006
ACM
167views Data Mining» more  KDD 2006»
16 years 4 months ago
Clustering pair-wise dissimilarity data into partially ordered sets
Ontologies represent data relationships as hierarchies of possibly overlapping classes. Ontologies are closely related to clustering hierarchies, and in this article we explore th...
Jinze Liu, Qi Zhang, Wei Wang 0010, Leonard McMill...