681 search results - page 95 / 137 » et 2006 |
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
86
Voted
AAAI
2007
14 years 12 months ago
2007
My research focus is on using continuous state partially observable Markov decision processes (POMDPs) to perform object manipulation tasks using a robotic arm. During object mani...
104
Voted
AAAI
2008
14 years 12 months ago
2008
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
113
Voted
ETVC
2008
14 years 11 months ago
2008
In a seminal paper, Amari (1998) proved that learning can be made more efficient when one uses the intrinsic Riemannian structure of the algorithms' spaces of parameters to po...
LREC
2010
2010
Interacting Semantic Layers of Annotation in SoNaR, a Reference Corpus of Contemporary Written Dutch
14 years 11 months ago
This paper reports on the annotation of a corpus of 1 million words with four semantic annotation layers, including named entities, coreference relations, semantic roles and spati...