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IADIS
2003
15 years 8 months ago
Prediction Strategies in a TV Recommender System - Method and Experiments
Predicting the interests of a user in information is an important process in personalized information systems. In this paper, we present a way to create prediction engines that al...
Mark van Setten, Mettina Veenstra, Anton Nijholt, ...
SBACPAD
2004
IEEE
111views Hardware» more  SBACPAD 2004»
15 years 8 months ago
Performance Evaluation of a Prototype Distributed NFS Server
A high-performance file system is normally a key point for large cluster installations, where hundreds or even thousands of nodes frequently need to manage large volumes of data. ...
Rafael Bohrer Ávila, Philippe Olivier Alexa...
UAI
2001
15 years 8 months ago
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
Lex Weaver, Nigel Tao
SODA
2004
ACM
155views Algorithms» more  SODA 2004»
15 years 8 months ago
Navigating nets: simple algorithms for proximity search
d Abstract] Robert Krauthgamer James R. Lee We present a simple deterministic data structure for maintaining a set S of points in a general metric space, while supporting proximit...
Robert Krauthgamer, James R. Lee
IJCAI
2003
15 years 8 months ago
A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data
This paper summarizes a probabilistic approach for localizing people through the signal strengths of a wireless IEEE 802.11b network. Our approach uses data labeled by ground trut...
Sebastian Thrun, Geoffrey J. Gordon, Frank Pfennin...
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