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GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
14 years 25 days ago
A hybrid genetic search for multiple sequence alignment
This paper proposes a hybrid genetic algorithm for multiple sequence alignment. The algorithm evolves guide sequences and aligns input sequences based on the guide sequences. It a...
Seung-Hyun Moon, Sung-Soon Choi, Byung Ro Moon
ECIR
2006
Springer
13 years 10 months ago
Supporting Relevance Feedback in Video Search
Abstract. WWW Video Search Engines have become increasingly commonplace within the last few years and at the same time video retrieval research has been receiving more attention wi...
Cathal Gurrin, Dag Johansen, Alan F. Smeaton
ESANN
2006
13 years 10 months ago
Diversity creation in local search for the evolution of neural network ensembles
Abstract. The EENCL algorithm [1] automatically designs neural network ensembles for classification, combining global evolution with local search based on gradient descent. Two mec...
Pete Duell, Iris Fermin, Xin Yao
UAI
2004
13 years 10 months ago
Mixtures of Deterministic-Probabilistic Networks and their AND/OR Search Space
The paper introduces mixed networks, a new framework for expressing and reasoning with probabilistic and deterministic information. The framework combines belief networks with con...
Rina Dechter, Robert Mateescu
AAAI
1994
13 years 10 months ago
Evolving Neural Networks to Focus Minimax Search
Neural networks were evolved through genetic algorithms to focus minimax search in the game of Othello. At each level of the search tree, the focus networks decide which moves are...
David E. Moriarty, Risto Miikkulainen