3378 search results - page 192 / 676 » Learning in Friedberg Numberings |
177
click to vote
JAIR
2000
15 years 6 months ago
2000
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
171
click to vote
TNN
1998
15 years 6 months ago
1998
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
318
click to vote
AIED
2011
Springer
14 years 10 months ago
2011
Springer
Self-assessment motivation questionnaires have been used in classrooms yet many researchers find only a weak correlation between answers to these questions and learning. In this pa...
224
click to vote
CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
Cross-domain learning methods have shown promising
results by leveraging labeled patterns from auxiliary domains
to learn a robust classifier for target domain, which
has a limi...
166
click to vote
EVOW
2009
Springer
16 years 1 months ago
2009
Springer
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...