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ICALT
2006
IEEE
14 years 3 months ago
Using Ontologies to Model and Execute IMS Learning Design Documents
This paper briefly describes how ontologies can be used to model, validate and execute IMS Learning Design. The main contribution relies on incorporate the implicit knowledge foun...
Ricardo R. Amorim, Manuel Lama, Eduardo Sán...
BMCBI
2011
13 years 1 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
ICALT
2007
IEEE
14 years 4 months ago
Towards Advanced Learner Modeling: Discussions on Quasi Real-time Adaptation with Physiological Data
In this paper, we discuss the use of physiological data for quasi real-time adaptation in ITS. We present preliminary results where we analyze learners’ reactions while using a ...
Emmanuel G. Blanchard, Pierre Chalfoun, Claude Fra...
ICMLA
2009
13 years 7 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
ISMIR
2004
Springer
132views Music» more  ISMIR 2004»
14 years 3 months ago
Classification of musical genre: a machine learning approach
In this paper, we investigate the impact of machine learning algorithms in the development of automatic music classification models aiming to capture genres distinctions. The stu...
Roberto Basili, Alfredo Serafini, Armando Stellato