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CSDA
2007
106views more  CSDA 2007»
15 years 6 months ago
Parsimonious additive models
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
JMLR
2008
111views more  JMLR 2008»
15 years 6 months ago
Ranking Categorical Features Using Generalization Properties
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
Sivan Sabato, Shai Shalev-Shwartz
FCSC
2007
159views more  FCSC 2007»
15 years 6 months ago
Ranking with uncertain labels and its applications
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
Shuicheng Yan, Huan Wang, Jianzhuang Liu, Xiaoou T...
PAMI
2006
143views more  PAMI 2006»
15 years 6 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
VLDB
2002
ACM
106views Database» more  VLDB 2002»
15 years 6 months ago
Structure and Value Synopses for XML Data Graphs
All existing proposals for querying XML (e.g., XQuery) rely on a pattern-specification language that allows (1) path navigation and branching through the label structure of the XM...
Neoklis Polyzotis, Minos N. Garofalakis