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ICML
1999
IEEE
16 years 6 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
ICML
2005
IEEE
16 years 6 months ago
Closed-form dual perturb and combine for tree-based models
This paper studies the aggregation of predictions made by tree-based models for several perturbed versions of the attribute vector of a test case. A closed-form approximation of t...
Pierre Geurts, Louis Wehenkel
SMI
2006
IEEE
111views Image Analysis» more  SMI 2006»
15 years 11 months ago
A Fast Particle System Framework for Interactive Implicit Modeling
In this paper, we present a controllable, fast and efficient particle system framework for skeletal implicit surfaces defined by the BlobTree model. We propose efficient algori...
Eric Galin, Rémi Allègre, Samir Akko...
COLING
2008
15 years 6 months ago
Exact Inference for Multi-label Classification using Sparse Graphical Models
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Yusuke Miyao, Jun-ichi Tsujii
SCANGIS
2003
15 years 6 months ago
Terrain Mobility Model and Determination of Optimal Off-Road Route
The paper describes a concept for GIS based terrain mobility modelling and optimization of off-road route. The concept of generation of cost surface is based on machine, terrain, ...
Antti Suvinen, Martti Saarilahti, Timo Tokola