341 search results - page 31 / 69 » Learning to satisfy |
MCS
2005
Springer
14 years 1 months ago
2005
Springer
We have previously introduced the Learn++ algorithm that provides surprisingly promising performance for incremental learning as well as data fusion applications. In this contribut...
COLT
2006
Springer
13 years 11 months ago
2006
Springer
We consider the problem of optimality, in a minimax sense, and adaptivity to the margin and to regularity in binary classification. We prove an oracle inequality, under the margin ...
ALT
2010
Springer
13 years 9 months ago
2010
Springer
We are studying long term sequence prediction (forecasting). We approach this by investigating criteria for choosing a compact useful state representation. The state is supposed t...
EOR
2008
13 years 7 months ago
2008
The car sequencing problem involves scheduling cars along an assembly line while satisfying capacity constraints. In this paper, we describe an Ant Colony Optimization (ACO) algor...
STOC
2003
ACM
14 years 7 months ago
2003
ACM
Boosting algorithms are procedures that "boost" low-accuracy weak learning algorithms to achieve arbitrarily high accuracy. Over the past decade boosting has been widely...