2363 search results - page 411 / 473 » Learning Algorithms for Domain Adaptation |
COCOON
2009
Springer
14 years 5 months ago
2009
Springer
: Network games play a fundamental role in understanding behavior in many domains, ranging from communication networks through markets to social networks. Such networks are used, a...
KCAP
2003
ACM
14 years 3 months ago
2003
ACM
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...
IJCAI
2003
13 years 11 months ago
2003
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
WWW
2011
ACM
13 years 5 months ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...