Sciweavers

61
Voted
NIPS
2001
15 years 2 months ago
Learning Hierarchical Structures with Linear Relational Embedding
Alberto Paccanaro, Geoffrey E. Hinton
70
Voted
NIPS
2001
15 years 2 months ago
Generalizable Relational Binding from Coarse-coded Distributed Representations
We present a model of binding of relationship information in a spatial domain (e.g., square above triangle) that uses low-order coarse-coded conjunctive representations instead of...
Randall C. O'Reilly, R. S. Busby
111
Voted
NIPS
2001
15 years 2 months ago
Hyperbolic Self-Organizing Maps for Semantic Navigation
We introduce a new type of Self-Organizing Map (SOM) to navigate in the Semantic Space of large text collections. We propose a "hyperbolic SOM" (HSOM) based on a regular...
Jörg Ontrup, Helge Ritter
82
Voted
NIPS
2001
15 years 2 months ago
Entropy and Inference, Revisited
We study properties of popular near
Ilya Nemenman, F. Shafee, William Bialek
78
Voted
NIPS
2001
15 years 2 months 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
15 years 2 months 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
15 years 2 months ago
Prodding the ROC Curve: Constrained Optimization of Classifier Performance
Michael C. Mozer, Robert H. Dodier, Michael D. Col...
NIPS
2001
15 years 2 months ago
A Rational Analysis of Cognitive Control in a Speeded Discrimination Task
Michael C. Mozer, Michael D. Colagrosso, David E. ...
90
Voted
NIPS
2001
15 years 2 months 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...
96
Voted
NIPS
2001
15 years 2 months 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