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FLAIRS
2008
15 years 8 months ago
Learning a Probabilistic Model of Event Sequences from Internet Weblog Stories
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Mehdi Manshadi, Reid Swanson, Andrew S. Gordon
BMCBI
2010
113views more  BMCBI 2010»
15 years 6 months ago
A classification model for distinguishing copy number variants from cancer-related alterations
Background: Both somatic copy number alterations (CNAs) and germline copy number variants (CNVs) that are prevalent in healthy individuals can appear as recurrent changes in compa...
Irina Ostrovnaya, Gouri Nanjangud, Adam B. Olshen
ROBOCUP
2005
Springer
112views Robotics» more  ROBOCUP 2005»
16 years 20 hour ago
Velocity Control of an Omnidirectional RoboCup Player with Recurrent Neural Networks
In this paper, a recurrent neural network is used to develop a dynamic controller for mobile robots. The advantage of the control approach is that no knowledge about the robot mode...
Mohamed Oubbati, Michael Schanz, Thorsten Buchheim...
WSC
1998
15 years 7 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
MC
2008
145views Computer Science» more  MC 2008»
15 years 8 months ago
Graspable Work Modeling
Structure placement techniques have been successfully used to facilitate individual articulation and communication in organizational settings. Recent research provides evidence th...
Stefan Oppl