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» An Approximation Algorithm for Alphabet Indexing Problem
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ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
14 years 9 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang
86
Voted
DCC
2004
IEEE
15 years 11 months ago
Discrete Universal Filtering Through Incremental Parsing
In the discrete filtering problem, a data sequence over a finite alphabet is assumed to be corrupted by a discrete memoryless channel. The goal is to reconstruct the clean sequenc...
Erik Ordentlich, Tsachy Weissman, Marcelo J. Weinb...
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 5 months ago
ICSPEA: evolutionary five-axis milling path optimisation
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...
Jörn Mehnen, Rajkumar Roy, Petra Kersting, To...
117
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ALGORITHMICA
2000
161views more  ALGORITHMICA 2000»
14 years 11 months ago
Binary Searching with Nonuniform Costs and Its Application to Text Retrieval
We study the problem of minimizing the expected cost of binary searching for data where the access cost is not fixed and depends on the last accessed element, such as data stored i...
Gonzalo Navarro, Ricardo A. Baeza-Yates, Eduardo F...
WWW
2007
ACM
16 years 10 days ago
Efficient search engine measurements
We address the problem of measuring global quality metrics of search engines, like corpus size, index freshness, and density of duplicates in the corpus. The recently proposed est...
Ziv Bar-Yossef, Maxim Gurevich