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» Approximate algorithms for neural-Bayesian approaches
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ICML
2006
IEEE
15 years 10 months ago
Efficient co-regularised least squares regression
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...
Stefan Wrobel, Thomas Gärtner, Tobias Scheffe...
ICASSP
2008
IEEE
15 years 4 months ago
Multi-source DOA estimation in a reverberant room
In a reverberant scenario, phase transformed weighted algorithms are more robust than Maximum Likelihood (ML) because of the insufficiency of the data model to incorporate reverb...
Andreas M. Ali, Ralph E. Hudson, Kung Yao
ICAIL
2003
ACM
15 years 3 months ago
Induction of Defeasible Logic Theories in the Legal Domain
Defeasible Logic is a promising representation for legal knowledge that appears to overcome many of the deficiencies of previous approaches to representing legal knowledge. Unfor...
Benjamin Johnston, Guido Governatori
PEPM
1995
ACM
15 years 1 months ago
Shape Analysis as a Generalized Path Problem
This paper concerns a method for approximating the possible “shapes” that heap-allocated structures in a program can take on. We present a new approach to finding solutions t...
Thomas W. Reps
JCC
2002
73views more  JCC 2002»
14 years 9 months ago
Linear scaling approaches to quantum macromolecular similarity: Evaluating the similarity function
: The evaluation of the electron density based similarity function scales quadratically with respect to the size of the molecules for simplified, atomic shell densities. Due to the...
Pere Constans