1419 search results - page 154 / 284 » Approximation Methods for Supervised Learning |
123
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
98
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
129
Voted
IJCAI
2007
15 years 2 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
141
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IJCAI
2001
15 years 2 months ago
2001
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
107
Voted
ICML
1998
IEEE
16 years 1 months ago
1998
IEEE
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...