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AIPS
2008
14 years 8 days ago
What Makes Planners Predictable?
In recent work we showed that models constructed from planner performance data over a large suite of benchmark problems are surprisingly accurate; 91-99% accuracy for success and ...
Mark Roberts, Adele E. Howe, Brandon Wilson, Marie...
NAACL
1994
13 years 11 months ago
Predicting and Managing Spoken Disfluencies During Human-Computer Interaction
This research characterizes the spontaneous spoken disfluencies typical of human-computer interaction, and presents a predictive model accounting for their occurrence. Data were c...
Sharon L. Oviatt
NAR
2007
65views more  NAR 2007»
13 years 9 months ago
STRING 7 - recent developments in the integration and prediction of protein interactions
Information on protein–protein interactions is still mostly limited to a small number of model organisms, and originates from a wide variety of experimental and computational te...
Christian von Mering, Lars Juhl Jensen, Michael Ku...
PPSN
2010
Springer
13 years 7 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
IJON
2010
199views more  IJON 2010»
13 years 7 months ago
DFS-generated pathways in GA crossover for protein structure prediction
Genetic Algorithms (GAs), as nondeterministic conformational search techniques, are promising for solving protein structure prediction (PSP) problems. The crossover operator of a ...
Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul ...