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» The changing science of machine learning
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119
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ICML
2009
IEEE
16 years 4 months ago
Graph construction and b-matching for semi-supervised learning
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
Tony Jebara, Jun Wang, Shih-Fu Chang
227
Voted

Book
343views
17 years 1 months ago
A Beginners C++
"This book is primarily intended to be a text for the programming component in an introductory two semester computer science course (some materials are a little advanced and m...
Neil Gray
118
Voted
IFIP
1994
Springer
15 years 7 months ago
From AI Technology Research to Applications
Focusing on examples of knowledge systems and machine learning, this paper illustrates the transfer of AI technology from science to real-world applications. Decades of AI researc...
Armin B. Cremers, Sebastian Thrun, Wolfram Burgard
110
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DIS
2006
Springer
15 years 7 months ago
A Pragmatic Logic of Scientific Discovery
Abstract. To the best of our knowledge, this paper is the first attempt to formalise a pragmatic logic of scientific discovery in a manner such that it can be realised by scientist...
Jean Sallantin, Christopher Dartnell, Mohammad Afs...
131
Voted
ICYCS
2008
IEEE
15 years 10 months ago
The Practice of Remote Education on Information Security
With the rapid development of computer science, its education mode also changes a lot. Teaching and learning are not restricted by the physical distance with the help of the netwo...
Wei Hu, Gang Wang, Qingsong Shi, Tianzhou Chen