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SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 10 months ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin
NIPS
2007
13 years 10 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
NIPS
2007
13 years 10 months ago
Density Estimation under Independent Similarly Distributed Sampling Assumptions
A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
Tony Jebara, Yingbo Song, Kapil Thadani
BIOCOMP
2006
13 years 10 months ago
Insight of the Signal Motif of GPI-(like)-anchored Proteins by using SVM
- Many proteins contain a signal sequence at their COOH-terminus recognized by glycosylphosphatidylinositol (GPI) anchor and attached on the membrane. Experimental result suggests ...
Wei Cao, Kazuya Sumikoshi, Tohru Terada, Shugo Nak...
DAGSTUHL
2004
13 years 10 months ago
Knowledge-Based Sampling for Subgroup Discovery
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Martin Scholz