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AAAI
1998
15 years 7 months ago
A Feature-Based Learning Method for Theorem Proving
Automatedreasoning or theorem proving essentially amounts to solving search problems. Despite significant progress in recent years theorem provers still have manyshortcomings. The...
Matthias Fuchs
AAAI
2012
13 years 8 months ago
Discriminative Clustering via Generative Feature Mapping
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia
SAB
2010
Springer
117views Optimization» more  SAB 2010»
15 years 4 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley
CDC
2008
IEEE
161views Control Systems» more  CDC 2008»
16 years 26 days ago
Distributed policies for equitable partitioning: Theory and applications
Abstract— The most widely applied resource allocation strategy is to balance, or equalize, the total workload assigned to each resource. In mobile multi-agent systems, this princ...
Marco Pavone, Emilio Frazzoli, Francesco Bullo
AIMS
2007
Springer
16 years 18 days ago
Modeling Change Without Breaking Promises
Promise theory defines a method by which static service bindings are made in a network, but little work has been done on handling the dynamic case in which bindings must change ov...
Alva L. Couch, Hengky Susanto, Marc Chiarini