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NIPS
2001
14 years 27 days ago
Entropy and Inference, Revisited
We study properties of popular near
Ilya Nemenman, F. Shafee, William Bialek
NIPS
2001
14 years 27 days ago
A Bayesian Model Predicts Human Parse Preference and Reading Times in Sentence Processing
Narayanan and Jurafsky (1998) proposed that human language comprehension can be modeled by treating human comprehenders as Bayesian reasoners, and modeling the comprehension proce...
S. Narayanan, Daniel Jurafsky
NIPS
2001
14 years 27 days ago
Linear-time inference in Hierarchical HMMs
The hierarchical hidden Markov model (HHMM) is a generalization of the hidden Markov model (HMM) that models sequences with structure at many length/time scales [FST98]. Unfortuna...
K. P. Murphy, Mark A. Paskin
NIPS
2001
14 years 27 days ago
Prodding the ROC Curve: Constrained Optimization of Classifier Performance
Michael C. Mozer, Robert H. Dodier, Michael D. Col...
NIPS
2001
14 years 27 days ago
A Rational Analysis of Cognitive Control in a Speeded Discrimination Task
Michael C. Mozer, Michael D. Colagrosso, David E. ...
NIPS
2001
14 years 27 days ago
An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures
This paper describes a clustering algorithm for vector quantizers using a "stochastic association model". It offers a new simple and powerful softmax adaptation rule. Th...
Takashi Morie, Tomohiro Matsuura, Makoto Nagata, A...
NIPS
2001
14 years 27 days ago
Quantizing Density Estimators
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
Peter Meinicke, Helge Ritter
NIPS
2001
14 years 27 days ago
Self-regulation Mechanism of Temporally Asymmetric Hebbian Plasticity
Recent biological experimental findings have shown that the synaptic plasticity depends on the relative timing of the pre- and postsynaptic spikes which determines whether Long Te...
N. Matsumoto, M. Okada
NIPS
2001
14 years 27 days ago
Orientation-Selective aVLSI Spiking Neurons
We describe a programmable multi-chip VLSI neuronal system that can be used for exploring spike-based information processing models. The system consists of a silicon retina, a PIC...
Shih-Chii Liu, Jörg Kramer, Giacomo Indiveri,...
NIPS
2001
14 years 27 days ago
The Steering Approach for Multi-Criteria Reinforcement Learning
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
Shie Mannor, Nahum Shimkin