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IADIS
2004
15 years 8 months ago
Problem-Based Learning Method Simulation by PBL Virtual Environment
Problem Based Learning (PBL) is a new teaching-learning method originated from the changes that have occurred in the world economical basis and in the information and communicatio...
Hernane Borges de Barros Pereira, Gabriela Ribeiro...
UAI
2003
15 years 8 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
AUTOMATICA
2006
103views more  AUTOMATICA 2006»
15 years 7 months ago
A universal iterative learning stabilizer for a class of MIMO systems
Design of iterative learning control (ILC) often requires some prior knowledge about a system's control matrix. In some applications, such as uncalibrated visual servoing, th...
Ping Jiang, Huadong Chen, Leon C. A. Bamforth
NN
1998
Springer
15 years 7 months ago
A tennis serve and upswing learning robot based on bi-directional theory
We experimented on task-level robot learning based on bi-directional theory. The via-point representation was used for ‘learning by watching’. In our previous work, we had a r...
Hiroyuki Miyamoto, Mitsuo Kawato
PKDD
2010
Springer
128views Data Mining» more  PKDD 2010»
15 years 5 months ago
Learning to Tag from Open Vocabulary Labels
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...
Edith Law, Burr Settles, Tom M. Mitchell