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ALT
2003
Springer
14 years 2 months ago
Efficiently Learning the Metric with Side-Information
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Tijl De Bie, Michinari Momma, Nello Cristianini
CORR
2010
Springer
201views Education» more  CORR 2010»
13 years 8 months ago
Online Advertisement, Optimization and Stochastic Networks
In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these compan...
R. Srikant
TODAES
2002
134views more  TODAES 2002»
13 years 10 months ago
False-noise analysis using logic implications
ct Cross-coupled noise analysis has become a critical concern in today's VLSI designs. Typically, noise analysis makes an assumption that all aggressing nets can simultaneousl...
Alexey Glebov, Sergey Gavrilov, David Blaauw, Vlad...
FOCS
2007
IEEE
14 years 5 months ago
The Power of Quantum Systems on a Line
: We study the computational strength of quantum particles (each of finite dimensionality) arranged on a line. First, we prove that it is possible to perform universal adiabatic q...
Dorit Aharonov, Daniel Gottesman, Sandy Irani, Jul...
NIPS
1998
14 years 8 days ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch