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NIPS
2004
15 years 8 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...
SODA
2004
ACM
146views Algorithms» more  SODA 2004»
15 years 8 months ago
Approximating the two-level facility location problem via a quasi-greedy approach
We propose a quasi-greedy algorithm for approximating the classical uncapacitated 2-level facility location problem (2-LFLP). Our algorithm, unlike the standard greedy algorithm, ...
Jiawei Zhang
NIPS
2003
15 years 8 months ago
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
Marc Toussaint
ACL
1998
15 years 8 months ago
A Stochastic Language Model using Dependency and Its Improvement by Word Clustering
In this paper, we present a stochastic language model for Japanese using dependency. The prediction unit in thismodel isallattributeof "bunsetsu". This isrepresented by ...
Shinsuke Mori, Makoto Nagao
WSC
1997
15 years 8 months ago
Computational Efficiency of Batching Methods
This paper discusses the efficiency of various batching methods for estimating performance parameters from steady-state simulation output, e.g., the steadystate mean. Our primary ...
David Goldsman, Bruce W. Schmeiser