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ICDM
2007
IEEE
289views Data Mining» more  ICDM 2007»
16 years 12 days ago
Latent Dirichlet Conditional Naive-Bayes Models
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
Arindam Banerjee, Hanhuai Shan
IDEAL
2009
Springer
15 years 10 months ago
The Winning Advantage: Using Opponent Models in Robot Soccer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
José Antonio Iglesias, Juan Antonio Fern&aa...
ACMACE
2004
ACM
15 years 11 months ago
A synthetic traffic model for Quake3
This paper presents our development of a synthetic traffic model for the interactive online computer game Quake3. The goal is a traffic model that can be used by researchers and I...
Tanja Lang, Philip Branch, Grenville J. Armitage
ICML
2001
IEEE
16 years 7 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
158
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CHI
2011
ACM
14 years 9 months ago
Modeling and predicting pointing errors in two dimensions
Recently, Wobbrock et al. (2008) derived a predictive model of pointing accuracy to complement Fitts’ law’s predictive model of pointing speed. However, their model was based ...
Jacob O. Wobbrock, Alex Jansen, Kristen Shinohara