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» Perceptual Learning and Abstraction in Machine Learning
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GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
15 years 2 months ago
Using an Immune System Model to Explore Mate Selection in Genetic Algorithms
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...
Chien-Feng Huang
CIVR
2006
Springer
174views Image Analysis» more  CIVR 2006»
15 years 1 months ago
Annotating News Video with Locations
Abstract. The location of video scenes is an important semantic descriptor especially for broadcast news video. In this paper, we propose a learning-based approach to annotate shot...
Jun Yang 0003, Alexander G. Hauptmann
ICRA
1995
IEEE
125views Robotics» more  ICRA 1995»
15 years 1 months ago
Inductive Generation of Diagnostic Knowledge for Autonomous Assembly
A generic architecture for evolutive supervision of robotized assembly tasks is presented. This architecture , at different levels of abstraction, functions for dispatching action...
Luís Seabra Lopes, Luis M. Camarinha-Matos
ECAI
2006
Springer
14 years 11 months ago
Calibrating Probability Density Forecasts with Multi-Objective Search
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
Michael Carney, Padraig Cunningham
ESWS
2008
Springer
14 years 11 months ago
The Creation and Evaluation of iSPARQL Strategies for Matchmaking
Abstract. This research explores a new method for Semantic Web service matchmaking based on iSPARQL strategies, which enables to query the Semantic Web with techniques from traditi...
Christoph Kiefer, Abraham Bernstein