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» Structural Learning of Activities from Sparse Datasets
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BMCBI
2010
133views more  BMCBI 2010»
13 years 9 months ago
New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of expression data
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
Anup Parikh, Eryong Huang, Christopher Dinh, Blaz ...
ECAI
2008
Springer
13 years 10 months ago
An Efficient Student Model Based on Student Performance and Metadata
This paper describes a new student model technology that combines evidences and knowledge about pedagogical and domain structure. Its structure is generated from the metadata avai...
Arndt Faulhaber, Erica Melis
ICMLA
2009
13 years 6 months ago
Regularizing the Local Similarity Discriminant Analysis Classifier
Abstract--We investigate parameter-based and distributionbased approaches to regularizing the generative, similarity-based classifier called local similarity discriminant analysis ...
Luca Cazzanti, Maya R. Gupta
IJCNN
2006
IEEE
14 years 2 months ago
Dynamic Hyperparameter Scaling Method for LVQ Algorithms
— We propose a new annealing method for the hyperparameters of several recent Learning Vector Quantization algorithms. We first analyze the relationship between values assigned ...
Sambu Seo, Klaus Obermayer
ICML
2004
IEEE
14 years 9 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...