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ICML
2009
IEEE
16 years 5 months ago
Learning from measurements in exponential families
Given a model family and a set of unlabeled examples, one could either label specific examples or state general constraints--both provide information about the desired model. In g...
Percy Liang, Michael I. Jordan, Dan Klein
ACSAC
2003
IEEE
15 years 9 months ago
A Failure to Learn from the Past
On the evening of 2 November 1988, someone “infected” the Internet with a worm program. That program exploited flaws in utility programs in systems based on BSD-derived versi...
Eugene H. Spafford
ASPLOS
1998
ACM
15 years 8 months ago
Space-Time Scheduling of Instruction-Level Parallelism on a Raw Machine
Advances in VLSI technology will enable chips with over a billion transistors within the next decade. Unfortunately, the centralized-resource architectures of modern microprocesso...
Walter Lee, Rajeev Barua, Matthew Frank, Devabhakt...
ECML
2006
Springer
15 years 8 months ago
(Agnostic) PAC Learning Concepts in Higher-Order Logic
This paper studies the PAC and agnostic PAC learnability of some standard function classes in the learning in higher-order logic setting introduced by Lloyd et al. In particular, i...
Kee Siong Ng
ICMLA
2009
15 years 2 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson