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SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
13 years 8 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
PAMI
2008
135views more  PAMI 2008»
13 years 7 months ago
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
Zhe Wang, Songcan Chen, Tingkai Sun
SIGIR
2005
ACM
14 years 27 days ago
Measure-based metasearch
We propose a simple method for converting many standard measures of retrieval performance into metasearch algorithms. Our focus is both on the analysis of retrieval measures thems...
Javed A. Aslam, Virgiliu Pavlu, Emine Yilmaz
SODA
2004
ACM
131views Algorithms» more  SODA 2004»
13 years 8 months ago
When indexing equals compression: experiments with compressing suffix arrays and applications
We report on a new experimental analysis of high-order entropy-compressed suffix arrays, which retains the theoretical performance of previous work and represents an improvement in...
Roberto Grossi, Ankur Gupta, Jeffrey Scott Vitter
AI
2005
Springer
13 years 7 months ago
MaxSolver: An efficient exact algorithm for (weighted) maximum satisfiability
Maximum Boolean satisfiability (max-SAT) is the optimization counterpart of Boolean satisfiability (SAT), in which a variable assignment is sought to satisfy the maximum number of...
Zhao Xing, Weixiong Zhang