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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
16 years 18 days ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
VLDB
2000
ACM
114views Database» more  VLDB 2000»
15 years 10 months ago
The A-tree: An Index Structure for High-Dimensional Spaces Using Relative Approximation
We propose a novel index structure, A-tree (Approximation tree), for similarity search of high-dimensional data. The basic idea of the
Yasushi Sakurai, Masatoshi Yoshikawa, Shunsuke Uem...
SAINT
2005
IEEE
16 years 10 hour ago
Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
IJCAI
1997
15 years 7 months ago
Toward Structured Retrieval in Semi-structured Information Spaces
A semi-structured information space consists of multiple collections of textual documents containing fielded or tagged sections. The space can be highly heterogeneous, because eac...
Scott B. Huffman, Catherine Baudin
P2P
2005
IEEE
104views Communications» more  P2P 2005»
16 years 11 hour ago
Range Queries in Trie-Structured Overlays
Among the open problems in P2P systems, support for non-trivial search predicates, standardized query languages, distributed query processing, query load balancing, and quality of...
Anwitaman Datta, Manfred Hauswirth, Renault John, ...