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ICML
2009
IEEE
16 years 7 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do
IKE
2010
15 years 3 months ago
A Conceptual Model for Measuring the Quality of e-learning through Knowledge Sharing Indicators
- The eras in which learning was limited to a special class of people has far reached its end. Rapid changes of information technologies, which affect all aspects of today's l...
Iman Raeesi, Davood Qorbani, Babak Akhgar
ECTEL
2010
Springer
15 years 4 months ago
Preferences in Multiple-View Open Learner Models
Abstract. Educational systems that model the user enable personalisation. Systems that open the model to the user to prompt reflection are increasingly common. These often offer a ...
Susan Bull, Inderdip Gakhal, Daniel Grundy, Matthe...
JMLR
2006
108views more  JMLR 2006»
15 years 6 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...
UAI
1998
15 years 7 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman