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GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
16 years 11 days ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
16 years 11 days ago
An autonomous explore/exploit strategy
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Alex McMahon, Dan Scott, William N. L. Browne
ICCS
2005
Springer
16 years 10 days ago
Towards a Bayesian Approach to Robust Finding Correspondences in Multiple View Geometry Environments
Abstract. This paper presents a new Bayesian approach to the problem of finding correspondences of moving objects in a multiple calibrated camera environment. Moving objects are d...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
MDM
2005
Springer
16 years 10 days ago
Dynamically-optimized context in recommender systems
Traditional approaches to recommender systems have not taken into account situational information when making recommendations, and this seriously limits the relevance of the resul...
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
PKDD
2005
Springer
85views Data Mining» more  PKDD 2005»
16 years 9 days ago
Improving Generalization by Data Categorization
In most of the learning algorithms, examples in the training set are treated equally. Some examples, however, carry more reliable or critical information about the target than the ...
Ling Li, Amrit Pratap, Hsuan-Tien Lin, Yaser S. Ab...
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