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SIAMCO
2008
112views more  SIAMCO 2008»
15 years 4 months ago
A Knowledge-Gradient Policy for Sequential Information Collection
In a sequential Bayesian ranking and selection problem with independent normal populations and common known variance, we study a previously introduced measurement policy which we ...
Peter Frazier, Warren B. Powell, Savas Dayanik
CCR
2000
75views more  CCR 2000»
15 years 4 months ago
The Eifel algorithm: making TCP robust against spurious retransmissions
We propose an enhancement to TCP's error recovery scheme, which we call the Eifel algorithm. It eliminates the retransmission ambiguity, thereby solving the problems caused b...
Reiner Ludwig, Randy H. Katz
CORR
2002
Springer
132views Education» more  CORR 2002»
15 years 4 months ago
Robust Feature Selection by Mutual Information Distributions
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
Marco Zaffalon, Marcus Hutter
VLSISP
2002
124views more  VLSISP 2002»
15 years 4 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
ML
2007
ACM
131views Machine Learning» more  ML 2007»
15 years 4 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer