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GECCO
2003
Springer
118views Optimization» more  GECCO 2003»
15 years 3 months ago
Population Sizing Based on Landscape Feature
Abstract. Population size for EvolutionaryAlgorithms is usually an empirical parameter. We study the population size from aspects of fitness landscapes’ ruggedness and Probably ...
Jian Zhang, Xiaohui Yuan, Bill P. Buckles
ICARCV
2008
IEEE
138views Robotics» more  ICARCV 2008»
15 years 4 months ago
Looking at the surprise: Bottom-up attentional control of an active camera system
—Inspired by the expectation-based perception of humans, a surprise-driven active vision system is proposed. This vision system not only considers spatial saliency of objects in ...
Tingting Xu, Quirin Mühlbauer, Stefan Sosnows...
ISNN
2007
Springer
15 years 4 months ago
A Probabilistic Approach to Feature Selection for Multi-class Text Categorization
Abstract. In this paper, we propose a probabilistic approach to feature selection for multi-class text categorization. Specifically, we regard document class and occurrence of eac...
Ke Wu, Bao-Liang Lu, Masao Uchiyama, Hitoshi Isaha...
ISIPTA
2005
IEEE
130views Mathematics» more  ISIPTA 2005»
15 years 3 months ago
Computing Lower and Upper Expectations under Epistemic Independence
This papers investigates the computation of lower/upper expectations that must cohere with a collection of probabilistic assessments and a collection of judgements of epistemic in...
Cassio Polpo de Campos, Fabio Gagliardi Cozman
AGI
2008
14 years 11 months ago
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
Brian Milch