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ECML
2007
Springer
16 years 18 days ago
Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models
Abstract. Robustly estimating the state-transition probabilities of highorder Markov processes is an essential task in many applications such as natural language modeling or protei...
Rikiya Takahashi
ISVC
2007
Springer
16 years 18 days ago
An Anti-aliasing Technique for Voxel-Based Massive Model Visualization Strategies
CAD models of industrial installations usually have hundreds of millions of triangles. For this reason they cannot be interactively rendered in the current generation of computer h...
Gustavo N. Wagner, Alberto Raposo, Marcelo Gattass
IDEAL
2004
Springer
15 years 11 months ago
Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak ...
SIGIR
2003
ACM
15 years 11 months ago
Modeling annotated data
We consider the problem of modeling annotated data—data with multiple types where the instance of one type (such as a caption) serves as a description of the other type (such as...
David M. Blei, Michael I. Jordan
GRID
2000
Springer
15 years 10 months ago
Architectural Models for Resource Management in the Grid
: The concept of coupling geographically distributed (high-end) resources for solving large-scale problems is becoming increasingly popular, forming what is popularly called grid c...
Rajkumar Buyya, Steve J. Chapin, David C. DiNucci