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NEUROSCIENCE
2001
Springer
15 years 4 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
CCGRID
2009
IEEE
15 years 6 months ago
Multi-scale Real-Time Grid Monitoring with Job Stream Mining
—The ever increasing scale and complexity of large computational systems ask for sophisticated management tools, paving the way toward Autonomic Computing. A first step toward A...
Xiangliang Zhang, Michèle Sebag, Céc...
ACL
2011
14 years 3 months ago
Learning to Win by Reading Manuals in a Monte-Carlo Framework
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal i...
S. R. K. Branavan, David Silver, Regina Barzilay
KES
2004
Springer
15 years 5 months ago
Managing Ontology Evolution Via Relational Constraints
Abstract. Ontology-based modelling is becoming increasingly important in the design of complex knowledge management applications. However, many problems related to large-scale onto...
Paolo Ceravolo, Angelo Corallo, Gianluca Elia, Ant...
ICSE
2012
IEEE-ACM
13 years 2 months ago
Continuous social screencasting to facilitate software tool discovery
—The wide variety of software development tools available today have a great potential to improve the way developers make software, but that potential goes unfulfilled when deve...
Emerson R. Murphy-Hill