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UAI
2004
15 years 8 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
ATAL
2010
Springer
15 years 8 months ago
Linear options
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
Jonathan Sorg, Satinder P. Singh
COMCOM
2008
127views more  COMCOM 2008»
15 years 6 months ago
A dynamic routing protocol for keyword search in unstructured peer-to-peer networks
The idea of building query-oriented routing indices has changed the way of improving keyword search efficiency from the basis as it can learn the content distribution from the que...
Cong Shi, Dingyi Han, Yuanjie Liu, Shicong Meng, Y...
CORR
2010
Springer
114views Education» more  CORR 2010»
15 years 6 months ago
Settling the Polynomial Learnability of Mixtures of Gaussians
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We give an algorithm for this problem that has running ...
Ankur Moitra, Gregory Valiant
COCO
2010
Springer
153views Algorithms» more  COCO 2010»
15 years 10 months ago
Communication Complexity with Synchronized Clocks
Abstract—We consider two natural extensions of the communication complexity model that are inspired by distributed computing. In both models, two parties are equipped with synchr...
Russell Impagliazzo, Ryan Williams