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CMSB
2010
Springer
14 years 4 months ago
Stochasticity in reactions: a probabilistic Boolean modeling approach
Boolean modeling frameworks have long since proved their worth for capturing and analyzing essential characteristics of complex systems. Hybrid approaches aim at exploiting the ad...
Sven Twardziok, Heike Siebert, Alexander Heyl
UAI
2003
14 years 11 months ago
Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
Darya Chudova, Scott Gaffney, Padhraic Smyth
ROBOCUP
2001
Springer
126views Robotics» more  ROBOCUP 2001»
15 years 2 months ago
Recognizing Probabilistic Opponent Movement Models
In multiagent adversarial domains, team agents should adapt to the environment and opponent. We introduce a model representation as part of a planning process for a simulated socce...
Patrick Riley, Manuela M. Veloso
RECOMB
2006
Springer
15 years 10 months ago
A Probabilistic Model for Gene Content Evolution with Duplication, Loss, and Horizontal Transfer
We introduce a Markov model for the evolution of a gene family along a phylogeny. The model includes parameters for the rates of horizontal gene transfer, gene duplication, and gen...
István Miklós, Miklós Csü...
BMVC
2000
14 years 11 months ago
Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation
High-dimensional data, such as images represented as points in the space spanned by their pixel values, can often be described in a significantly smaller number of dimensions than...
Dick de Ridder, Josef Kittler, Robert P. W. Duin