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CEC
2009
IEEE
15 years 7 months ago
Multi-objective optimization using self-adaptive differential evolution algorithm
- In this paper, we propose a Multiobjective Self-adaptive Differential Evolution algorithm with objective-wise learning strategies (OW-MOSaDE) to solve numerical optimization pr...
Vicky Ling Huang, Shuguang Z. Zhao, Rammohan Malli...
99
Voted
CIG
2005
IEEE
15 years 6 months ago
Building Reactive Characters for Dynamic Gaming Environments
Interactive computer games are widely seen as a killer application domain for Artificial Intelligence (AI) [8]. Quite apart from the significant size of the games market in terms...
Peter Blackburn, Barry O'Sullivan
PR
2007
151views more  PR 2007»
15 years 3 days ago
Learning to display high dynamic range images
In this paper, we present a learning-based image processing technique. We have developed a novel method to map high dynamic range scenes to low dynamic range images for display in...
Guoping Qiu, Jiang Duan, Graham D. Finlayson
NIPS
1996
15 years 1 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair
80
Voted
WAIM
2004
Springer
15 years 6 months ago
Learning-Based Top-N Selection Query Evaluation over Relational Databases
A top-N selection query against a relation is to find the N tuples that satisfy the query condition the best but not necessarily completely. In this paper, we propose a new method ...
Liang Zhu, Weiyi Meng