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» On the Complexity of Function Learning
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JCIT
2008
104views more  JCIT 2008»
15 years 5 months ago
Research and Design on Personalized Learning System Based on Mobile Agent
In view of students' individual difference in the learning process, in this paper we propose a personalized learning system, to which intelligent Agent technique and case-bas...
Yang He-biao, Chen Yu-kun, Wang Jue, Liu Zhi-hong
ICMLA
2009
15 years 2 months ago
The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting
This paper describes a novel real-world reinforcement learning application: The Neuro Slot Car Racer. In addition to presenting the system and first results based on Neural Fitted...
Tim C. Kietzmann, Martin Riedmiller
NIPS
2004
15 years 6 months ago
Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model
We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a s...
Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aiha...
WCE
2007
15 years 6 months ago
An Energy Backpropagation Algorithm
— This paper presents an energy back-propagation algorithm (EBP). Learning and convergence processes of the standard backpropagation algorithm (SBP) are based on the energy funct...
Ahmad Hashim Hussein Aal-Yhia, Ahmad Sharieh
JUCS
2002
110views more  JUCS 2002»
15 years 4 months ago
Generation of Constants and Synchronization of Finite Automata
: The problem about the synchronization of a finite deterministic automaton is not yet properly understood. The present paper investigates this and related problems within the gene...
Arto Salomaa