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ML
1998
ACM
139views Machine Learning» more  ML 1998»
14 years 9 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby
EDM
2011
197views Data Mining» more  EDM 2011»
13 years 9 months ago
Towards Improvements on Domain-independent Measurements for Collaborative Assessment
Assessment on collaborative student behavior is a longstanding issue in user modeling. Nowadays thanks to the proliferation of online learning and the vast amount of data on studen...
Antonio R. Anaya, Jesus Boticario
ALT
2008
Springer
15 years 7 months ago
Visual Analytics: Combining Automated Discovery with Interactive Visualizations
In numerous application areas fast growing data sets develop with ever higher complexity and dynamics. A central challenge is to filter the substantial information and to communic...
Daniel A. Keim, Florian Mansmann, Daniela Oelke, H...
JKM
2007
89views more  JKM 2007»
14 years 10 months ago
Knowledge leadership cycles: an approach from Nonaka's viewpoint
Purpose – The aim of this paper is to analyse leadership cycles based on knowledge creation, with learning and culture as key elements for reaching leadership. Following Ikujiro...
Maria Sarabia
ICML
2010
IEEE
14 years 11 months ago
Mixed Membership Matrix Factorization
Discrete mixed membership modeling and continuous latent factor modeling (also known as matrix factorization) are two popular, complementary approaches to dyadic data analysis. In...
Lester W. Mackey, David Weiss, Michael I. Jordan