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» Adaptive Algorithms for Online Decision Problems
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COCOON
2007
Springer
14 years 2 months ago
Priority Algorithms for the Subset-Sum Problem
Greedy algorithms are simple, but their relative power is not well understood. The priority framework [5] captures a key notion of “greediness” in the sense that it processes (...
Yuli Ye, Allan Borodin
COLT
2006
Springer
13 years 11 months ago
Online Learning with Constraints
In this paper, we study a sequential decision making problem. The objective is to maximize the total reward while satisfying constraints, which are defined at every time step. The...
Shie Mannor, John N. Tsitsiklis
SODA
2012
ACM
249views Algorithms» more  SODA 2012»
11 years 10 months ago
Improved competitive ratio for the matroid secretary problem
The Matroid Secretary Problem, introduced by Babaioff et al. (2007), is a generalization of the Classical Secretary Problem. In this problem, elements from a matroid are presente...
Sourav Chakraborty, Oded Lachish
ATAL
2005
Springer
14 years 1 months ago
Rapid on-line temporal sequence prediction by an adaptive agent
Robust sequence prediction is an essential component of an intelligent agent acting in a dynamic world. We consider the case of near-future event prediction by an online learning ...
Steven Jensen, Daniel Boley, Maria L. Gini, Paul R...
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
14 years 8 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