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NIPS
2007
13 years 10 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
KAIS
2008
165views more  KAIS 2008»
13 years 8 months ago
Multirelational classification: a multiple view approach
Multirelational classification aims at discovering useful patterns across multiple inter-connected tables (relations) in a relational database. Many traditional learning techniques...
Hongyu Guo, Herna L. Viktor
ESANN
2000
13 years 10 months ago
Distributed clustering and local regression for knowledge discovery in multiple spatial databases
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
BMCBI
2008
104views more  BMCBI 2008»
13 years 9 months ago
Evolutionary Pareto-optimization of stably folding peptides
Background: As a rule, peptides are more flexible and unstructured than proteins with their substantial stabilizing hydrophobic cores. Nevertheless, a few stably folding peptides ...
Wolfram Gronwald, Tim Hohm, Daniel Hoffmann
BIOCOMP
2006
13 years 10 months ago
A Multi-strategy Approach to Protein Structural Alphabet Design
- The search for structural similarity among proteins can provide valuable insights into their functional mechanisms and their functional relationships. Though the protein 1D seque...
Shih-Yen Ku, Yuh-Jyh Hu