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» Learning Bounds for Domain Adaptation
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98
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AIMSA
2008
Springer
15 years 7 months ago
Prototypes Based Relational Learning
Relational instance-based learning (RIBL) algorithms offer high prediction capabilities. However, they do not scale up well, specially in domains where there is a time bound for c...
Rocío García-Durán, Fernando ...
104
Voted
ATAL
2004
Springer
15 years 6 months ago
Adaptive, Distributed Control of Constrained Multi-Agent Systems
Product Distribution (PD) theory was recently developed as a framework for analyzing and optimizing distributed systems. In this paper we demonstrate its use for adaptive distribu...
Stefan Bieniawski, David Wolpert
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 6 months ago
Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation
In order to handle classification problems with real-valued attributes using discretization algorithms it is necessary to obtain a good and reduced set of cut points in order to l...
Jaume Bacardit, Josep Maria Garrell i Guiu
181
Voted
EWCBR
2008
Springer
15 years 2 months ago
ColibriCook: A CBR System for Ontology-Based Recipe Retrieval and Adaptation
In this paper we present ColibriCook: a CBR system for ontology-based cooking recipe retrieval and adaptation. The system's purpose is to participate in the 1st Computer Cooki...
Juan DeMiguel, Laura Plaza, Belén Dí...
96
Voted
AIPRF
2007
15 years 2 months ago
Adaptive Novice Supporter
In this paper, we implemented very simple plan generator which can help the novice researchers do their research efficiently. We have assumed that we should not make domain expert...
Sung-Pil Choi, Ho-Jin Choi, Sung-Hyon Myaeng