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151views
14 years 5 months ago
Robust Bayesian reinforcement learning through tight lower bounds
In the Bayesian approach to sequential decision making, exact calculation of the (subjective) utility is intractable. This extends to most special cases of interest, such as reinfo...
Christos Dimitrakakis
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 7 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
ECOWS
2007
Springer
16 years 20 days ago
Web Service Hosting and Revenue Maximization
An architecture of a hosting system is presented, where a number of servers are used to provide different types of web services to paying customers. There are charges for running ...
Michele Mazzucco, Isi Mitrani, Jennie Palmer, Mike...
COLT
2004
Springer
15 years 10 months ago
Oracle Bounds and Exact Algorithm for Dyadic Classification Trees
This paper introduces a new method using dyadic decision trees for estimating a classification or a regression function in a multiclass classification problem. The estimator is bas...
Gilles Blanchard, Christin Schäfer, Yves Roze...
EVOW
2008
Springer
15 years 8 months ago
Genetic Programming in Statistical Arbitrage
Abstract. This paper employs genetic programming to discover statistical arbitrage strategies on the banking sector in the Euro Stoxx universe. Binary decision rules are evolved us...
Philip Saks, Dietmar G. Maringer