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» A Framework for Multiple-Instance Learning
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NIPS
1997
13 years 10 months ago
Reinforcement Learning with Hierarchies of Machines
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
Ronald Parr, Stuart J. Russell
ML
2007
ACM
131views Machine Learning» more  ML 2007»
13 years 8 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
ICMLA
2010
13 years 6 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
UAI
2008
13 years 10 months ago
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...
Gal Elidan, Benjamin Packer, Geremy Heitz, Daphne ...
JCDL
2006
ACM
104views Education» more  JCDL 2006»
14 years 3 months ago
Template-based authoring of educational artifacts
The Walden’s Paths project is developing tools for leveraging student learning with the incredible amount of educational material on the Web. Specialized templates based on esta...
Sarah Davis, Paul Logasa Bogen II, Lauren Cifuente...