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» On the modularity of feature interactions
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NIPS
2007
13 years 10 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
CVPR
2005
IEEE
14 years 11 months ago
Feature Kernel Functions: Improving SVMs Using High-Level Knowledge
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...
Qiang Sun, Gerald DeJong
ECML
2003
Springer
14 years 2 months ago
Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
Walter Daelemans, Véronique Hoste, Fien De ...
CGF
2010
155views more  CGF 2010»
13 years 9 months ago
Feature based terrain generation using diffusion equation
This paper presents a diffusion method for generating terrains from a set of parameterized curves that characterize the landform features such as ridge lines, riverbeds or cliffs....
Houssam Hnaidi, Eric Guérin, Samir Akkouche...
VLC
2002
118views more  VLC 2002»
13 years 8 months ago
Modeling Behaviors of Interactive Objects for Real-Time Virtual Environments
Real-time 3D graphics are being extensively used to build interactive virtual environments for a number of different applications. In many situations, virtual objects are required...
Marcelo Kallmann, Daniel Thalmann