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ICML
2007
IEEE
14 years 7 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
CORR
2007
Springer
164views Education» more  CORR 2007»
13 years 6 months ago
Capacity Region of the Finite-State Multiple Access Channel with and without Feedback
—The capacity region of the finite-state multiple-access channel (FS-MAC) with feedback that may be an arbitrary timeinvariant function of the channel output samples is consider...
Haim H. Permuter, Tsachy Weissman
JOC
2010
124views more  JOC 2010»
13 years 5 months ago
A New and Improved Paradigm for Hybrid Encryption Secure Against Chosen-Ciphertext Attack
We present a new encryption scheme which is secure against adaptive chosenciphertext attack (or CCA2-secure) in the standard model (i.e. without the use of random oracle). Our sch...
Yvo Desmedt, Rosario Gennaro, Kaoru Kurosawa, Vict...
CP
2000
Springer
13 years 10 months ago
Expressiveness of Full First Order Constraints in the Algebra of Finite or Infinite Trees
We are interested in the expressiveness of constraints represented by general first order formulae, with equality as unique relation symbol and function symbols taken from an infi...
Alain Colmerauer, Thi-Bich-Hanh Dao
ICSE
2005
IEEE-ACM
14 years 6 months ago
Explicit assumptions enrich architectural models
Design for change is a well-known adagium in software engineering. We separate concerns, employ well-designed interfaces, and the like to ease evolution of the systems we build. W...
Patricia Lago, Hans van Vliet