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ML
2000
ACM
154views Machine Learning» more  ML 2000»
14 years 9 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
SIGOPS
2010
179views more  SIGOPS 2010»
14 years 4 months ago
Online cache modeling for commodity multicore processors
Modern chip-level multiprocessors (CMPs) contain multiple processor cores sharing a common last-level cache, memory interconnects, and other hardware resources. Workloads running ...
Richard West, Puneet Zaroo, Carl A. Waldspurger, X...
138
Voted
AAMAS
2011
Springer
14 years 4 months ago
Aggregating value ranges: preference elicitation and truthfulness
We study the case where agents have preferences over ranges (intervals) of values, and we wish to elicit and aggregate these preferences. For example, consider a set of climatologi...
Joseph Farfel, Vincent Conitzer
RSS
2007
176views Robotics» more  RSS 2007»
14 years 11 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
BMCBI
2006
91views more  BMCBI 2006»
14 years 9 months ago
Empirical study of supervised gene screening
Background: Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray me...
Shuangge Ma