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» Strongly Non-U-Shaped Learning Results by General Techniques
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ICML
2005
IEEE
14 years 9 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
JSAC
2006
157views more  JSAC 2006»
13 years 9 months ago
Traffic grooming in path, star, and tree networks: complexity, bounds, and algorithms
We consider the problem of traffic grooming in WDM path, star, and tree networks. Traffic grooming is a variant of the well-known logical topology design, and is concerned with the...
Shu Huang, Rudra Dutta, George N. Rouskas
EUSFLAT
2001
180views Fuzzy Logic» more  EUSFLAT 2001»
13 years 10 months ago
Fuzzy approach to meta-analysis
Meta-analysis is a statistical procedure to do syntheses of evidences. In the production of scientific knowledge, in spite of paradigmatic skips of quality, the rising of the accu...
Paulo Alfonso Bracarense Costa, Rogério Cid...
WWW
2009
ACM
14 years 9 months ago
Web image retrieval reranking with multi-view clustering
General image retrieval is often carried out by a text-based search engine, such as Google Image Search. In this case, natural language queries are used as input to the search eng...
Mingmin Chi, Peiwu Zhang, Yingbin Zhao, Rui Feng, ...
ITNG
2006
IEEE
14 years 3 months ago
Biomedical Term Disambiguation: An Application to Gene-Protein Name Disambiguation
The huge volumes of biomedical texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information. ...
Hisham Al-Mubaid, Ping Chen