1864 search results - page 141 / 373 » Learning Object Context for Adaptive Learning Design |
162
Voted
CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
113
Voted
ECML
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. Active Learning methods rely on static strategies for sampling unlabeled point(s). These strategies range from uncertainty sampling and density estimation to multi-factor...
119
Voted
ICML
2000
IEEE
16 years 3 months ago
2000
IEEE
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
125
Voted
AAAI
2010
15 years 4 months ago
2010
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
113
Voted
ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
A computer vision based algorithm for wildfire detection is developed. The main detection algorithm is composed of four sub-algorithms detecting (i) slow moving objects, (ii) gra...