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» Probabilistic Recurrence Relations
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NIPS
2000
13 years 8 months ago
An Information Maximization Approach to Overcomplete and Recurrent Representations
The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
Oren Shriki, Haim Sompolinsky, Daniel D. Lee
NA
2010
114views more  NA 2010»
13 years 5 months ago
Matrix interpretation of multiple orthogonality
Abstract: In this work we give an interpretation of a (s(d + 1) + 1)-term recurrence relation in terms of type II multiple orthogonal polynomials. We rewrite this recurrence relati...
Amílcar Branquinho, Luis Cotrim, Ana Foulqu...
SEMWEB
2005
Springer
14 years 26 days ago
Representing Probabilistic Relations in RDF
Probabilistic inference will be of special importance when one needs to know how much we can say with what all we know given new observations. Bayesian Network is a graphical prob...
Yoshio Fukushige
INFORMATICALT
2007
127views more  INFORMATICALT 2007»
13 years 7 months ago
Composition of Loop Modules in the Structural Blanks Approach to Programming with Recurrences: A Task of Synthesis of Nested Loo
The paper presents, first, the Structural Blanks (SB) approach, then a method to compose loop programs. SB is an approach for expressing computations based on recurrence relations...
Vytautas Cyras
RECOMB
2002
Springer
14 years 7 months ago
Monotony of surprise and large-scale quest for unusual words
The problem of characterizing and detecting recurrent sequence patterns such as substrings or motifs and related associations or rules is variously pursued in order to compress da...
Alberto Apostolico, Mary Ellen Bock, Stefano Lonar...