50 search results - page 1 / 10 » Learning Complex and Sparse Events in Long Sequences |
ECAI
2004
Springer
13 years 10 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
SARA
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. The presence of long gaps dramatically increases the difficulty of detecting and characterizing complex events hidden in long sequences. In order to cope with this proble...
HCI
2009
13 years 2 months ago
2009
Abstract. IT service delivery is challenging to study. It is characterized by interacting systems of technology, people, and organizations. The work is sometimes reactive, sometime...
JAIR
2002
13 years 4 months ago
2002
We develop, analyze, and evaluate a novel, supervised, specific-to-general learner for a simple temporal logic and use the resulting algorithm to learn visual event definitions fr...
BMCBI
2007
13 years 4 months ago
2007
Background: Features of a DNA sequence can be found by compressing the sequence under a suitable model; good compression implies low information content. Good DNA compression mode...