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» Evaluating Discourse Processing Algorithms
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NIPS
2003
14 years 11 months ago
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
Neil D. Lawrence
ICML
2008
IEEE
15 years 10 months ago
Modeling interleaved hidden processes
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Niels Landwehr
DPD
2006
114views more  DPD 2006»
14 years 9 months ago
A novel approach to resource scheduling for parallel query processing on computational grids
Advances in network technologies and the emergence of Grid computing have both increased the need and provided the infrastructure for computation and data intensive applications to...
Anastasios Gounaris, Rizos Sakellariou, Norman W. ...
ICDAR
2003
IEEE
15 years 3 months ago
Lexical Post-Processing Optimization for Handwritten Word Recognition
This paper presents a lexical post-processing optimization for handwritten word recognition. The aim of this work is to explore the combination of different lexical postprocessing...
Sabine Carbonnel, Éric Anquetil
NIPS
2003
14 years 11 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss