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ICML
2010
IEEE
14 years 11 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 3 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
WWW
2008
ACM
15 years 10 months ago
Efficient multi-keyword search over p2p web
Current search mechanisms of DHT-based P2P systems can well handle a single keyword search problem. Other than single keyword search, multi-keyword search is quite popular and use...
Hanhua Chen, Hai Jin, Jiliang Wang, Lei Chen 0002,...
RSCTC
2000
Springer
126views Fuzzy Logic» more  RSCTC 2000»
15 years 1 months ago
Evolutionary Parsing for a Probabilistic Context Free Grammar
Abstract. Classic parsing methods are based on complete search techniques to find the different interpretations of a sentence. However, the size of the search space increases expon...
Lourdes Araujo
WWW
2003
ACM
15 years 3 months ago
Make it fresh, make it quick: searching a network of personal webservers
Personal webservers have proven to be a popular means of sharing files and peer collaboration. Unfortunately, the transient availability and rapidly evolving content on such host...
Mayank Bawa, Roberto J. Bayardo Jr., Sridhar Rajag...