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ML
1998
ACM
102views Machine Learning» more  ML 1998»
14 years 9 months ago
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Renato Vicente, Osame Kinouchi, Nestor Caticha
NIPS
2008
14 years 11 months ago
Online Prediction on Large Diameter Graphs
We continue our study of online prediction of the labelling of a graph. We show a fundamental limitation of Laplacian-based algorithms: if the graph has a large diameter then the ...
Mark Herbster, Guy Lever, Massimiliano Pontil
AVSS
2009
IEEE
15 years 1 months ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni
RANDOM
1999
Springer
15 years 2 months ago
Scheduling with Unexpected Machine Breakdowns
We investigate an online version of a basic scheduling problem where a set of jobs has to be scheduled on a number of identical machines so as to minimize the makespan. The job pr...
Susanne Albers, Günter Schmidt
WDAG
2007
Springer
86views Algorithms» more  WDAG 2007»
15 years 4 months ago
Cost-Aware Caching Algorithms for Distributed Storage Servers
We study replacement algorithms for non-uniform access caches that are used in distributed storage systems. Considering access latencies as major costs of data management in such a...
Shuang Liang, Ke Chen, Song Jiang, Xiaodong Zhang