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ESANN
2006
13 years 8 months ago
Neural networks and machine learning in bioinformatics - theory and applications
Bioinformatics is a promising and innovative research field. Despite of a high number of techniques specifically dedicated to bioinformatics problems as well as many successful app...
Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas...
ISCI
2000
92views more  ISCI 2000»
13 years 7 months ago
Quantum associative memory
This paper combines quantum computation with classical neural network theory to produce a quantum computational learning algorithm. Quantum computation uses microscopic quantum lev...
Dan Ventura, Tony R. Martinez
TSMC
2011
210views more  TSMC 2011»
13 years 2 months ago
Fault Diagnosis in Discrete-Event Systems: Incomplete Models and Learning
— Most state-based approaches to fault diagnosis of discrete-event systems require a complete and accurate model of the system to be diagnosed. In this paper, we address the prob...
Raymond H. Kwong, David L. Yonge-Mallo
ALT
2010
Springer
13 years 9 months ago
Bayesian Active Learning Using Arbitrary Binary Valued Queries
We explore a general Bayesian active learning setting, in which the learner can ask arbitrary yes/no questions. We derive upper and lower bounds on the expected number of queries r...
Liu Yang, Steve Hanneke, Jaime G. Carbonell
ACOM
2004
Springer
14 years 22 days ago
Toward a Suite of Performatives Based Upon Joint Intention Theory
Agent communication languages defined using joint intention theory have enjoyed a long research history. A number of performatives have been defined and refined in this literature ...
Marcus J. Huber, Sanjeev Kumar, David McGee