145 search results - page 10 / 29 » Selective Sampling Based on the Variation in Label Assignmen... |
ICMLA
2007
13 years 9 months ago
2007
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...
MMAS
2010
Springer
13 years 2 months ago
2010
Springer
A unified variational methodology is developed for classification and clustering problems, and tested in the classification of tumors from gene expression data. It is based on flu...
JMLR
2010
13 years 2 months ago
2010
Commonly to classify new object in Data Mining one should estimate its similarity with given classes. Function of Rival Similarity (FRiS) is assigned to calculate quantitative mea...
KDD
2005
ACM
14 years 1 months ago
2005
ACM
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
TSP
2010
13 years 2 months ago
2010
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...