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IJCAI
1989
15 years 1 months ago
An Empirical Comparison of ID3 and Back-propagation
AI and connectionist approaches to learning from examples differ in knowledge-base representation and inductive mechanisms. To explore these differences we experiment with a syste...
Douglas H. Fisher, Kathleen B. McKusick
NIPS
2004
15 years 1 months ago
Learning Syntactic Patterns for Automatic Hypernym Discovery
Semantic taxonomies such as WordNet provide a rich source of knowledge for natural language processing applications, but are expensive to build, maintain, and extend. Motivated by...
Rion Snow, Daniel Jurafsky, Andrew Y. Ng
TON
2008
79views more  TON 2008»
14 years 11 months ago
A stochastic foundation of available bandwidth estimation: multi-hop analysis
This paper analyzes the asymptotic behavior of packet-train probing over a multi-hop network path carrying arbitrarily routed bursty cross-traffic flows. We examine the statistical...
Xiliang Liu, Kaliappa Nadar Ravindran, Dmitri Logu...
ICRA
2010
IEEE
147views Robotics» more  ICRA 2010»
14 years 10 months ago
Towards One Shot Learning by imitation for humanoid robots
— Teaching a robot to learn new knowledge is a repetitive and tedious process. In order to accelerate the process, we propose a novel template-based approach for robot arm moveme...
Yan Wu, Yiannis Demiris
KSEM
2009
Springer
15 years 6 months ago
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
Mario Zechner, Michael Granitzer