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IDEAL
2000
Springer
14 years 9 days ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
ORL
2007
102views more  ORL 2007»
13 years 8 months ago
Using critical sets to solve the maximum independent set problem
A method that utilizes the polynomially solvable critical independent set problem for solving the maximum independent set problem on graphs with a nonempty critical independent se...
Sergiy Butenko, Svyatoslav Trukhanov
ATAL
2005
Springer
14 years 2 months ago
The value of privacy: optimal strategies for privacy minded agents
Agents often want to protect private information, while at the same acting upon the information. These two desires are in conflict, and this conflict can be modeled in strategic...
Sieuwert van Otterloo
ICML
2010
IEEE
13 years 9 months ago
Nonparametric Information Theoretic Clustering Algorithm
In this paper we propose a novel clustering algorithm based on maximizing the mutual information between data points and clusters. Unlike previous methods, we neither assume the d...
Lev Faivishevsky, Jacob Goldberger
INFOCOM
2005
IEEE
14 years 2 months ago
Optimal utility based multi-user throughput allocation subject to throughput constraints
— We consider the problem of scheduling multiple users sharing a time-varying wireless channel. (As an example, this is a model of scheduling in 3G wireless technologies, such as...
Matthew Andrews, Lijun Qian, Alexander L. Stolyar