4578 search results - page 329 / 916 » Learning from Multi-source Data |
140
Voted
NCA
2007
IEEE
15 years 3 months ago
2007
IEEE
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
145
Voted
CVPR
2005
IEEE
16 years 5 months ago
2005
IEEE
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
119
Voted
ICAC
2006
IEEE
15 years 9 months ago
2006
IEEE
Abstract— Shared computing utilities allocate compute, network, and storage resources to competing applications on demand. An awareness of the demands and behaviors of the hosted...
120
Voted
MICAI
2009
Springer
15 years 10 months ago
2009
Springer
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
129
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...