278 search results - page 4 / 56 » Anticipation Model for Sequential Learning of Complex Sequen... |
ECML
2005
Springer
14 years 2 months ago
2005
Springer
Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other task...
PR
2010
13 years 7 months ago
2010
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
MLMI
2007
Springer
14 years 3 months ago
2007
Springer
Eye gaze and gesture form key conversational grounding cues that are used extensively in face-to-face interaction among people. To accurately recognize visual feedback during inter...
AAAI
1996
13 years 10 months ago
1996
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
ECAI
2004
Springer
14 years 2 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...