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Publication
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
INCDM
2010
Springer
13 years 8 months ago
2010
Springer
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
SAGT
2009
Springer
14 years 4 months ago
2009
Springer
In a scheduling game, each player owns a job and chooses a machine to execute it. While the social cost is the maximal load over all machines (makespan), the cost (disutility) of ...
CIE
2005
Springer
14 years 3 months ago
2005
Springer
We define the notion of ordinal computability by generalizing standard Turing computability on tapes of length ω to computations on tapes of arbitrary ordinal length. The general...
COLT
2005
Springer
14 years 3 months ago
2005
Springer
We examine a Markovian model for the price evolution of a stock, in which the probability of local upward or downward movement is arbitrarily dependent on the current price itself...