864 search results - page 29 / 173 » Selective Attention Improves Learning |
103
Voted
IDA
2002
Springer
15 years 14 days ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
117
Voted
KDD
2005
ACM
16 years 1 months ago
2005
ACM
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
128
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BMCBI
2007
15 years 21 days ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
135
Voted
TMC
2008
15 years 18 days ago
2008
The limited number of orthogonal channels and autonomous installations of hotspots and home wireless networks often leave neighboring 802.11 basic service sets (BSSs) operating on ...
112
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BMCBI
2008
15 years 24 days ago
2008
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...