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» Dynamic Histograms: Capturing Evolving Data Sets
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BMCBI
2011
12 years 11 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
IWCLS
1999
Springer
14 years 2 hour ago
An Adaptive Agent Based Economic Model
In this paper we describe a simple model of adaptive agents of different types, represented by Learning Classifier Systems (LCS), which make investment decisions about a risk fre...
Sonia Schulenburg, Peter Ross
CG
2008
Springer
13 years 7 months ago
Practical global illumination for interactive particle visualization
Particle-based simulation methods are used to model a wide range of complex phenomena and to solve time-dependent problems of various scales. Effective visualizations of the resul...
Christiaan P. Gribble, Carson Brownlee, Steven G. ...
TVCG
2010
165views more  TVCG 2010»
13 years 6 months ago
A Visual Backchannel for Large-Scale Events
—We introduce the concept of a Visual Backchannel as a novel way of following and exploring online conversations about large-scale events. Microblogging communities, such as Twit...
Marian Dörk, Daniel M. Gruen, Carey Williamso...
CORR
2004
Springer
125views Education» more  CORR 2004»
13 years 7 months ago
High-Level Networking With Mobile Code And First Order AND-Continuations
We describe a scheme for moving living code between a set of distributed processes coordinated with unification based Linda operations, and its application to building a comprehen...
Paul Tarau, Verónica Dahl