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» Adaptive Transfer Learning
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159
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ITS
1998
Springer
107views Multimedia» more  ITS 1998»
15 years 6 months ago
Toward a Unification of Human-Computer Learning and Tutoring
We define a learning tutor as being an intelligent agent that learns from human tutors and then tutors human learners. The notion of a learning tutor provides a conceptual framewor...
Henry Hamburger, Gheorghe Tecuci
99
Voted
IJCNN
2008
IEEE
15 years 9 months ago
Numerical condition of feedforward networks with opposite transfer functions
— Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfe...
Mario Ventresca, Hamid R. Tizhoosh
CRYPTO
1995
Springer
135views Cryptology» more  CRYPTO 1995»
15 years 6 months ago
Committed Oblivious Transfer and Private Multi-Party Computation
Abstract. In this paper we present an eficient protocol for “Committed Oblivious Transfer” to perform oblivious transfer on committed bits: suppose Alice is committed to bits 0...
Claude Crépeau, Jeroen van de Graaf, Alain ...
111
Voted
IROS
2009
IEEE
140views Robotics» more  IROS 2009»
15 years 9 months ago
Transferring embodied concepts between perceptually heterogeneous robots
— This paper explores methods and representations that allow two perceptually heterogeneous robots, each of which represents concepts via grounded properties, to transfer knowled...
Zsolt Kira
143
Voted
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 8 months ago
Transfer of Neuroevolved Controllers in Unstable Domains
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Faustino J. Gomez, Risto Miikkulainen