2694 search results - page 303 / 539 » Fully Distributed Algorithms for Convex Optimization Problem... |
172
Voted
PKDD
2009
Springer
16 years 1 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
175
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CISS
2008
IEEE
16 years 1 months ago
2008
IEEE
Abstract—Compressive sensing is a new signal acquisition technology with the potential to reduce the number of measurements required to acquire signals that are sparse or compres...
189
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NIPS
2007
15 years 8 months ago
2007
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
188
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GIS
2007
ACM
15 years 10 months ago
2007
ACM
A frequent query in geospatial planning and decision making domains (e.g., emergency response, data acquisition, street cleaning), is to find an optimal traversal plan (OTP) that ...
209
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PPSN
2000
Springer
15 years 10 months ago
2000
Springer
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...