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IROS
2007
IEEE
136views Robotics» more  IROS 2007»
15 years 4 months ago
Affordance-based imitation learning in robots
— In this paper we build an imitation learning algorithm for a humanoid robot on top of a general world model provided by learned object affordances. We consider that the robot h...
Manuel Lopes, Francisco S. Melo, Luis Montesano
ICALT
2008
IEEE
15 years 4 months ago
Designing a Dynamic Bayesian Network for Modeling Students' Learning Styles
When using Learning Object Repositories, it is interesting to have mechanisms to select the more adequate objects for each student. For this kind of adaptation, it is important to...
Cristina Carmona, Gladys Castillo, Eva Millá...
STOC
1994
ACM
128views Algorithms» more  STOC 1994»
15 years 2 months ago
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
We present new results on the well-studied problem of learning DNF expressions. We prove that an algorithm due to Kushilevitz and Mansour [13] can be used to weakly learn DNF form...
Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, ...
ECML
2007
Springer
15 years 4 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
ICANN
2007
Springer
15 years 2 months ago
A Cognitive Model That Describes the Influence of Prior Knowledge on Concept Learning
It is well known that our prior knowledge and experiences affect how we learn new concepts. Although several formal modeling attempts have been made to quantitatively describe the ...
Toshihiko Matsuka, Yasuaki Sakamoto