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COLCOM
2005
IEEE
14 years 1 months ago
Developing a framework for integrating prior problem solving and knowledge sharing histories of a group to predict future group
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
Ron Stevens, Amy Soller, Alessandra Giordani, Luca...
AIMSA
2004
Springer
14 years 1 months ago
The Web as an Autobiographical Agent
The reward-based autobiographical memory approach has been applied to the Web search agent. The approach is based on the analogy between the Web and the environmental exploration b...
Maya Dimitrova, Emilia I. Barakova, Tino Lourens, ...
LREC
2008
170views Education» more  LREC 2008»
13 years 9 months ago
A Semantic Memory for Incremental Ontology Population
Generally, ontology learning and population is applied as a semi-automatic approach to knowledge acquisition in natural language understanding systems. That means, after the ontol...
Berenike Loos, Lasse Schwarten
CAV
2007
Springer
164views Hardware» more  CAV 2007»
13 years 12 months ago
SAT-Based Compositional Verification Using Lazy Learning
Abstract. A recent approach to automated assume-guarantee reasoning (AGR) for concurrent systems relies on computing environment assumptions for components using the L algorithm fo...
Nishant Sinha, Edmund M. Clarke
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 1 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber