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IJCNN
2006
IEEE
16 years 1 months ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
IFM
2005
Springer
16 years 17 days ago
Generating Path Conditions for Timed Systems
We provide an automatic method for calculating the path condition for programs with real time constraints. This method can be used for the semiautomatic verification of a unit of ...
Saddek Bensalem, Doron Peled, Hongyang Qu, Stavros...
PADL
2005
Springer
16 years 17 days ago
Character-Based Cladistics and Answer Set Programming
We describe the reconstruction of a phylogeny for a set of taxa, with a character-based cladistics approach, in a declarative knowledge representation formalism, and show how to us...
Daniel R. Brooks, Esra Erdem, James W. Minett, Don...
SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
15 years 8 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
NIPS
2008
15 years 8 months ago
Evaluating probabilities under high-dimensional latent variable models
We present a simple new Monte Carlo algorithm for evaluating probabilities of observations in complex latent variable models, such as Deep Belief Networks. While the method is bas...
Iain Murray, Ruslan Salakhutdinov