579 search results - page 106 / 116 » New Hybrid Optimization Algorithms for Machine Scheduling Pr... |
DCC
2009
IEEE
14 years 8 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
COLT
2008
Springer
13 years 9 months ago
2008
Springer
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
ASSETS
2007
ACM
13 years 11 months ago
2007
ACM
We address the practical problem of automating the process of translating figures from mathematics, science, and engineering textbooks to a tactile form suitable for blind student...
DAC
1997
ACM
13 years 11 months ago
1997
ACM
: Hardware-software co-synthesis is the process of partitioning an embedded system specification into hardware and software modules to meet performance, power and cost goals. In t...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...