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» Learning Algorithms for Domain Adaptation
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KES
2005
Springer
15 years 8 months ago
Learning Within the BDI Framework: An Empirical Analysis
One of the limitations of the BDI (Belief-Desire-Intention) model is the lack of any explicit mechanisms within the architecture to be able to learn. In particular, BDI agents do n...
Toan Phung, Michael Winikoff, Lin Padgham
ICGI
2004
Springer
15 years 8 months ago
Partial Learning Using Link Grammars Data
Abstract. Kanazawa has shown that several non-trivial classes of categorial grammars are learnable in Gold’s model. We propose in this article to adapt this kind of symbolic lear...
Erwan Moreau
NIPS
2004
15 years 4 months ago
Adaptive Discriminative Generative Model and Its Applications
This paper presents an adaptive discriminative generative model that generalizes the conventional Fisher Linear Discriminant algorithm and renders a proper probabilistic interpret...
Ruei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hs...
ICALT
2005
IEEE
15 years 8 months ago
Predicting Students' Marks in Hellenic Open University
The ability to provide assistance for a student at the appropriate level is invaluable in the learning process. Not only does it aid the student’s learning process but also prev...
Sotiris B. Kotsiantis, Panayiotis E. Pintelas
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
15 years 6 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo