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170views
13 years 9 months ago
Covariance Regularization for Supervised Learning in High Dimensions
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...
Daniel L. Elliott, Charles W. Anderson, Michael Ki...
INCDM
2010
Springer
138views Data Mining» more  INCDM 2010»
13 years 8 months ago
Learning Discriminative Distance Functions for Case Retrieval and Decision Support
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou
CEC
2009
IEEE
14 years 4 months ago
Dynamics in the normative group recognition process
— This paper examines the decentralized recognition of groups within a multiagent normative society in dynamic environments. In our case, a social group is defined based on the ...
Daniel Villatoro, Jordi Sabater-Mir
SACRYPT
2004
Springer
143views Cryptology» more  SACRYPT 2004»
14 years 3 months ago
Blockwise Adversarial Model for On-line Ciphers and Symmetric Encryption Schemes
Abstract. This paper formalizes the security adversarial games for online symmetric cryptosystems in a unified framework for deterministic and probabilistic encryption schemes. On...
Pierre-Alain Fouque, Antoine Joux, Guillaume Poupa...
ECAI
2010
Springer
13 years 11 months ago
On Testing Answer-Set Programs
Answer-set programming (ASP) is a well-acknowledged paradigm for declarative problem solving, yet comparably little effort has been spent on the investigation of methods to support...
Tomi Janhunen, Ilkka Niemelä, Johannes Oetsch...