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ECML
2005
Springer
16 years 1 days ago
Multi-armed Bandit Algorithms and Empirical Evaluation
The multi-armed bandit problem for a gambler is to decide which arm of a K-slot machine to pull to maximize his total reward in a series of trials. Many real-world learning and opt...
Joannès Vermorel, Mehryar Mohri
DATE
2004
IEEE
116views Hardware» more  DATE 2004»
15 years 10 months ago
A Novel SAT All-Solutions Solver for Efficient Preimage Computation
In this paper, we present a novel all-solutions preimage SAT solver, SOLALL, with the following features: (1) a new success-driven learning algorithm employing smaller cut sets; (...
Bin Li, Michael S. Hsiao, Shuo Sheng
CIA
2006
Springer
15 years 10 months ago
Improving Example Selection for Agents Teaching Ontology Concepts
Abstract. We present a method to improve the positive examples selection by teaching agents in a multi-agent system in which a team of agent peers teach concepts to a learning agen...
Mohsen Afsharchi, Behrouz H. Far
ICML
1994
IEEE
15 years 10 months ago
Combining Top-down and Bottom-up Techniques in Inductive Logic Programming
This paper describes a new methodfor inducing logic programs from examples which attempts to integrate the best aspects of existingILP methodsintoa singlecoherent framework. In pa...
John M. Zelle, Raymond J. Mooney, Joshua B. Konvis...
AAAI
2008
15 years 8 months ago
Exposing Parameters of a Trained Dynamic Model for Interactive Music Creation
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...
Dan Morris, Ian Simon, Sumit Basu