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» Gaussian Processes for Machine Learning
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ICWSM
2009
13 years 5 months ago
Regression-Based Summarization of Email Conversations
In this paper we present a regression-based machine learning approach to email thread summarization. The regression model is able to take advantage of multiple gold-standard annot...
Jan Ulrich, Giuseppe Carenini, Gabriel Murray, Ray...
ICALT
2007
IEEE
14 years 2 months ago
The Web 2.0 Driven SECI Model Based Learning Process
Nonaka and his knowledge transformation model SECI revolutionized the thinking about organizations as social learning systems. He introduced technical concepts like hypertext into...
Mohamed Amine Chatti, Ralf Klamma, Matthias Jarke,...
ICPR
2006
IEEE
14 years 8 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
ALT
2006
Springer
14 years 4 months ago
Unsupervised Slow Subspace-Learning from Stationary Processes
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...
Andreas Maurer
ICALT
2003
IEEE
14 years 1 months ago
Visualization of the Learning Process Using Concept Mapping
Visualization of the learning processes is a powerful way to help students to understand their curricula and the structure behind them. CME2 is a prototype software of this favour...
Jussi A. Nuutinen, Erkki Sutinen