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ICONIP
2009
13 years 5 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
COLING
1996
13 years 9 months ago
A Sign Expansion Approach to Dynamic, Multi-Purpose Lexicons
Two problematic issues in most lexicon systems today are their size and restricted domain of use. In this paper, we introduce a new approach to lexical organization that leads to ...
Jon Atle Gulla, Siur Norstebo Moshagen
CADE
2012
Springer
11 years 10 months ago
EPR-Based Bounded Model Checking at Word Level
We propose a word level, bounded model checking (BMC) algorithm based on translation into the effectively propositional fragment (EPR) of firstorder logic. This approach to BMC al...
Moshe Emmer, Zurab Khasidashvili, Konstantin Korov...
FOCS
2005
IEEE
14 years 1 months ago
AdWords and Generalized On-line Matching
How does a search engine company decide what ads to display with each query so as to maximize its revenue? This turns out to be a generalization of the online bipartite matching p...
Aranyak Mehta, Amin Saberi, Umesh V. Vazirani, Vij...
CEC
2007
IEEE
14 years 2 months ago
Continuous dynamic problem generators for evolutionary algorithms
— Addressing dynamic optimization problems has attracted a growing interest from the evolutionary algorithm community in recent years due to its importance in the applications of...
Renato Tinós, Shengxiang Yang