1859 search results - page 116 / 372 » Using Problems to Learn Service-Oriented Computing |
165
Voted
HPCN
1998
Springer
15 years 9 months ago
1998
Springer
We describe the Paraflow system for connecting heterogeneous computing services together into a flexible and efficient data-mining metacomputer. There are three levels of parallel...
152
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EVOW
2010
Springer
15 years 8 months ago
2010
Springer
Recognizing arbitrary objects in images or video sequences is a difficult task for a computer vision system. We work towards automated learning of object detectors from video seque...
163
Voted
JASIS
2000
15 years 4 months ago
2000
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
136
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FOCS
2006
IEEE
15 years 11 months ago
2006
IEEE
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
154
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NIPS
2001
15 years 6 months ago
2001
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...