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HIS
2007
14 years 11 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
SODA
2004
ACM
111views Algorithms» more  SODA 2004»
14 years 11 months ago
Reconstructing strings from random traces
We are given a collection of m random subsequences (traces) of a string t of length n where each trace is obtained by deleting each bit in the string with probability q. Our goal ...
Tugkan Batu, Sampath Kannan, Sanjeev Khanna, Andre...
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
14 years 10 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
BMCBI
2007
105views more  BMCBI 2007»
14 years 9 months ago
Predicting RNA secondary structure by the comparative approach: how to select the homologous sequences
Background: The secondary structure of an RNA must be known before the relationship between its structure and function can be determined. One way to predict the secondary structur...
Stefan Engelen, Fariza Tahi
80
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CORR
2007
Springer
104views Education» more  CORR 2007»
14 years 9 months ago
Sorting and Selection in Posets
Classical problems of sorting and searching assume an underlying linear ordering of the objects being compared. In this paper, we study a more general setting, in which some pairs...
Constantinos Daskalakis, Richard M. Karp, Elchanan...