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ICML
2003
IEEE
16 years 4 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
CIKM
2000
Springer
15 years 7 months ago
Scalable association-based text classification
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...
Dimitris Meretakis, Dimitris Fragoudis, Hongjun Lu...
EVOW
2006
Springer
15 years 6 months ago
Functional Classification of G-Protein Coupled Receptors, Based on Their Specific Ligand Coupling Patterns
Functional identification of G-Protein Coupled Receptors (GPCRs) is one of the current focus areas of pharmaceutical research. Although thousands of GPCR sequences are known, many ...
Burcu Bakir, Osman Ugur Sezerman
ISI
2008
Springer
15 years 3 months ago
A template alignment algorithm for question classification
Question classification (QC) plays a key role in automated question answering (QA) systems. In Chinese QC, for example, a question is analyzed and then labeled with the question ty...
Cheng-Lung Sung, Min-Yuh Day, Hsu-Chun Yen, Wen-Li...
IGARSS
2010
14 years 10 months ago
Calibrating probabilities for hyperspectral classification of rock types
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Sildomar T. Monteiro, Richard J. Murphy