1419 search results - page 164 / 284 » Approximation Methods for Supervised Learning |
123
Voted
EUROCAST
2007
Springer
15 years 8 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
127
Voted
IBPRIA
2009
Springer
15 years 6 months ago
2009
Springer
ent abstract presents OASIS, an Online Algorithm for Scalable Image Similarity learning that learns a bilinear similarity measure over sparse representations. OASIS is an online du...
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Recent work in machine learning considers the problem of identifying bird species from an audio recording. Most methods require segmentation to isolate each syllable of bird call ...
132
Voted
CIKM
2009
Springer
15 years 8 months ago
2009
Springer
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
133
Voted
SIGMOD
2012
ACM
13 years 4 months ago
2012
ACM
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...