1364 search results - page 240 / 273 » Sampling Methods for Unsupervised Learning |
135
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...
160
Voted
ML
2008
ACM
15 years 2 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
124
Voted
Publication
We consider the colorization problem of grayscale images when some pixels, called scribbles, with initial colors are given. In this paper, we propose a new multi-layer graph model ...
112
Voted
FUZZIEEE
2007
IEEE
15 years 8 months ago
2007
IEEE
— A DNA sequence can be described as a string composed of four symbols: A, T, C and G. Each symbol represents a chemically distinct nucleotide molecule. Combinations of two nucle...
145
Voted
BMCBI
2007
15 years 2 months ago
2007
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...