2036 search results - page 227 / 408 » From Sampling to Model Counting |
207
click to vote
ICRA
2010
IEEE
15 years 4 months ago
2010
IEEE
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
206
click to vote
SCALESPACE
2007
Springer
16 years 15 days ago
2007
Springer
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
199
Voted
AIPS
2007
15 years 8 months ago
2007
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
168
click to vote
BMCBI
2010
15 years 6 months ago
2010
Background: Developing and evaluating new technology that enables researchers to recover gene-expression levels of colonic cells from fecal samples could be key to a non-invasive ...
171
click to vote
BMCBI
2007
15 years 6 months ago
2007
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...