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IJCAI
2007
13 years 10 months ago
Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning
This paper addresses the problem of concept sampling. In many real-world applications, a large collection of mixed concepts is available for decision making. However, the collecti...
Yi Zhang 0010, Xiaoming Jin
SODA
1996
ACM
140views Algorithms» more  SODA 1996»
13 years 10 months ago
An O(n log n) Algorithm for the Maximum Agreement Subtree Problem for Binary Trees
The Maximum Agreement Subtree problem is the following: given two rooted trees whose leaves are drawn from the same set of items (e.g., species), find the largest subset of these i...
Richard Cole, Ramesh Hariharan
ISCI
2008
88views more  ISCI 2008»
13 years 8 months ago
Greedy regression ensemble selection: Theory and an application to water quality prediction
This paper studies the greedy ensemble selection family of algorithms for ensembles of regression models. These algorithms search for the globally best subset of regresmaking loca...
Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V...
GECCO
2007
Springer
141views Optimization» more  GECCO 2007»
14 years 3 months ago
Evolving robust GP solutions for hedge fund stock selection in emerging markets
Abstract Stock selection for hedge fund portfolios is a challenging problem for Genetic Programming (GP) because the markets (the environment in which the GP solution must survive)...
Wei Yan, Christopher D. Clack
CIARP
2008
Springer
13 years 11 months ago
Feature Selection through Dynamic Mesh Optimization
This paper introduces the Dynamic Mesh Optimization meta-heuristic, which falls under the evolutionary computation techniques. Moreover, we outline its application to the feature s...
Rafael Bello, Amilkar Puris, Rafael Falcón,...