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ML
2000
ACM
105views Machine Learning» more  ML 2000»
14 years 9 months ago
Multiple Comparisons in Induction Algorithms
Abstract. A single mechanism is responsible for three pathologies of induction algorithms: attribute selection errors, overfitting, and oversearching. In each pathology, induction ...
David D. Jensen, Paul R. Cohen

Publication
240views
13 years 8 months ago
Bayesian multitask inverse reinforcement learning
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
Christos Dimitrakakis, Constantin A. Rothkopf
MCS
2010
Springer
15 years 4 months ago
Combining Multiple Kernels by Augmenting the Kernel Matrix
Abstract. In this paper we present a novel approach to combining multiple kernels where the kernels are computed from different information channels. In contrast to traditional me...
Fei Yan, Krystian Mikolajczyk, Josef Kittler, Muha...
NSDI
2007
15 years 11 days ago
Exploiting Similarity for Multi-Source Downloads Using File Handprints
Many contemporary approaches for speeding up large file transfers attempt to download chunks of a data object from multiple sources. Systems such as BitTorrent quickly locate sou...
Himabindu Pucha, David G. Andersen, Michael Kamins...
ER
1998
Springer
147views Database» more  ER 1998»
15 years 2 months ago
An Active Conceptual Model for Fixed Income Securities Analysis for Multiple Financial Institutions
The practical implementation and use of a mediator for fixed income securities analysis demonstrated the potential for extending the application of conceptual modeling from the sys...
Allen Moulton, Stéphane Bressan, Stuart E. ...