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» The changing science of machine learning
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ICML
2009
IEEE
14 years 9 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

Book
343views
15 years 6 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
IFIP
1994
Springer
14 years 1 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
DIS
2006
Springer
14 years 20 days 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...
ICYCS
2008
IEEE
14 years 3 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