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» Learning with Local and Global Consistency
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NPL
1998
135views more  NPL 1998»
15 years 5 months ago
Local Adaptive Subspace Regression
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
Sethu Vijayakumar, Stefan Schaal
CP
2004
Springer
15 years 11 months ago
Disjoint, Partition and Intersection Constraints for Set and Multiset Variables
We have started a systematic study of global constraints on set and multiset variables. We consider here disjoint, partition, and intersection constraints in conjunction with cardi...
Christian Bessière, Emmanuel Hebrard, Brahi...
FUIN
2007
95views more  FUIN 2007»
15 years 6 months ago
Compositional Systems over Reducible Networks
Abstract. In the paper two notions related to local (distributed) computations are identified and discussed. The first one is the notion of reducible graphs. A graph is reducible...
Antoni W. Mazurkiewicz
ICDAR
2003
IEEE
15 years 11 months ago
Correcting the Document Layout: A Machine Learning Approach
In this paper, a machine learning approach to support the user during the correction of the layout analysis is proposed. Layout analysis is the process of extracting a hierarchica...
Donato Malerba, Floriana Esposito, Oronzo Altamura...
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
15 years 3 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams