2683 search results - page 496 / 537 » Machine learning problems from optimization perspective |
JCP
2008
13 years 10 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
INFOCOM
2010
IEEE
13 years 8 months ago
2010
IEEE
—In this paper we consider the problem of maximizing wireless network capacity (a.k.a. one-shot scheduling) in both the protocol and physical models. We give the first distribut...
IMC
2010
ACM
13 years 8 months ago
2010
ACM
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
IPPS
2010
IEEE
13 years 8 months ago
2010
IEEE
Automatic tuning has emerged as a solution to provide high-performance libraries for fast changing, increasingly complex computer architectures. We distinguish offline adaptation (...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...