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GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
14 years 19 days ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
NIPS
2007
13 years 10 months ago
Convex Clustering with Exemplar-Based Models
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
Danial Lashkari, Polina Golland
AAAI
1998
13 years 10 months ago
Highest Utility First Search Across Multiple Levels of Stochastic Design
Manydesign problems are solved using multiple levels of abstraction, wherea design at one level has combinatorially manychildren at the next level. A stochastic optimization metho...
Louis I. Steinberg, J. Storrs Hall, Brian D. Davis...
BDA
1997
13 years 10 months ago
A Non-Blocking Single-Phase Commit Protocol for Rigorous Participants
Transactional standards have been promoted by OMG and X/Open to allow heterogeneous resources to participate in an Atomic Commitment Protocol (ACP), namely the two-phase commit pro...
Maha Abdallah, Philippe Pucheral
UAI
2000
13 years 10 months ago
A Decision Theoretic Approach to Targeted Advertising
A simple advertising strategy that can be used to help increase sales of a product is to mail out special o ers to selected potential customers. Because there is a cost associated...
David Maxwell Chickering, David Heckerman