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ICALP
2009
Springer
16 years 4 months ago
Learning Halfspaces with Malicious Noise
We give new algorithms for learning halfspaces in the challenging malicious noise model, where an adversary may corrupt both the labels and the underlying distribution of examples....
Adam R. Klivans, Philip M. Long, Rocco A. Servedio
SIGECOM
2009
ACM
109views ECommerce» more  SIGECOM 2009»
15 years 11 months ago
A new perspective on implementation by voting trees
Voting trees describe an iterative procedure for selecting a single vertex from a tournament. vide a very general abstract model of decision-making among a group of individuals, a...
Felix A. Fischer, Ariel D. Procaccia, Alex Samorod...
146
Voted
HICSS
2006
IEEE
261views Biometrics» more  HICSS 2006»
15 years 10 months ago
e-Risk Management with Insurance: A Framework Using Copula Aided Bayesian Belief Networks
: e-business organizations are heavily dependent on distributed 24X7 robust information computing systems, for their daily operations. To secure distributed online transactions, th...
Arunabha Mukhopadhyay, Samir Chatterjee, Debashis ...
HRI
2006
ACM
15 years 10 months ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
142
Voted
ICALP
2005
Springer
15 years 10 months ago
Stochastic Steiner Trees Without a Root
Abstract. This paper considers the Steiner tree problem in the model of twostage stochastic optimization with recourse. This model, the focus of much recent research [1–4], tries...
Anupam Gupta, Martin Pál
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