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» Learning to generalize for complex selection tasks
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NLPRS
2001
Springer
15 years 4 months ago
A Bayesian Approach to Semi-Supervised Learning
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Rebecca F. Bruce
118
Voted
TCSV
2008
139views more  TCSV 2008»
15 years 10 days ago
A Fast MB Mode Decision Algorithm for MPEG-2 to H.264 P-Frame Transcoding
Abstract--The H.264 standard achieves much higher coding efficiency than the MPEG-2 standard, due to its improved inter-and intra-prediction modes at the expense of higher computat...
Gerardo Fernández-Escribano, Hari Kalva, Pe...
124
Voted
GECCO
2005
Springer
218views Optimization» more  GECCO 2005»
15 years 6 months ago
Particle swarm optimization for analysis of mass spectral serum profiles
Serum profiling using mass spectrometry is an emerging technology with a great potential to provide biomarkers for complex diseases such as cancer. However, protein profiles obtai...
Habtom W. Ressom, Rency S. Varghese, Daniel Saha, ...
193
Voted
IAAI
2011
14 years 2 days ago
NewsFinder: Automating an Artificial Intelligence News Service
NewsFinder automates the steps involved in finding, selecting and publishing news stories that meet subjective judgments of relevance and interest to the Artificial Intelligence c...
Liang Dong, Reid G. Smith, Bruce G. Buchanan
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
15 years 6 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...