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KDD
2005
ACM
130views Data Mining» more  KDD 2005»
16 years 6 months ago
Simple and effective visual models for gene expression cancer diagnostics
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupa...
ICPR
2008
IEEE
16 years 6 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 4 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
154
Voted
ISMB
1993
15 years 6 months ago
Prediction of Primate Splice Junction Gene Sequences with a Cooperative Knowledge Acquisition System
Wepropose a cooperative conceptual modelling environment in which two agents interact : the machineand the humanexpert. Theformer is able to extract knowledge from data using a sy...
Engelbert Mephu Nguifo, Jean Sallantin
ICCV
1998
IEEE
16 years 7 months ago
Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence
We develop a theory for the temporal integration of visual motion motivated by psychophysical experiments. The theory proposes that input data are temporally grouped and used to p...
Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grz...