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» Logic-Based Probabilistic Modeling
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AUSAI
2005
Springer
15 years 10 months ago
Conditioning Graphs: Practical Structures for Inference in Bayesian Networks
Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...
Kevin Grant, Michael C. Horsch
ICANN
2005
Springer
15 years 10 months ago
A Neural Network for Text Representation
Text categorization and retrieval tasks are often based on a good representation of textual data. Departing from the classical vector space model, several probabilistic models have...
Mikaela Keller, Samy Bengio
ICTAC
2005
Springer
15 years 10 months ago
A Rewriting Logic Sampler
Rewriting logic is a simple computational logic very well suited as a semantic framework within which many different models of computation, systems and languages can be naturally ...
José Meseguer
PAKDD
2005
ACM
180views Data Mining» more  PAKDD 2005»
15 years 10 months ago
Conditional Random Fields for Transmembrane Helix Prediction
Abstract. It is estimated that 20% of genes in the human genome encode for integral membrane proteins (IMPs) and some estimates are much higher. IMPs control a broad range of event...
Lior Lukov, Sanjay Chawla, W. Bret Church
127
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SSPR
2004
Springer
15 years 10 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja