Sciweavers

255 search results - page 16 / 51
» On Online Learning of Decision Lists
Sort
View
ALT
2007
Springer
15 years 8 months ago
Online Regression Competitive with Changing Predictors
This paper deals with the problem of making predictions in the online mode of learning where the dependence of the outcome yt on the signal xt can change with time. The Aggregating...
Steven Busuttil, Yuri Kalnishkan
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 2 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
100
Voted
COLT
2010
Springer
14 years 12 months ago
Learning with Global Cost in Stochastic Environments
We consider an online learning setting where at each time step the decision maker has to choose how to distribute the future loss between k alternatives, and then observes the los...
Eyal Even-Dar, Shie Mannor, Yishay Mansour
ICASSP
2011
IEEE
14 years 5 months ago
Reinforcement learning for energy-efficient wireless transmission
We consider the problem of energy-efficient point-to-point transmission of delay-sensitive data (e.g. multimedia data) over a fading channel. We propose a rigorous and unified fra...
Nicholas Mastronarde, Mihaela van der Schaar
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
15 years 5 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo