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NIPS
1994
13 years 5 months ago
Inferring Ground Truth from Subjective Labelling of Venus Images
Padhraic Smyth, Usama M. Fayyad, Michael C. Burl, ...
NIPS
1994
13 years 5 months ago
Reinforcement Learning with Soft State Aggregation
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
NIPS
1994
13 years 5 months ago
Analysis of Unstandardized Contributions in Cross Connected Networks
Understanding knowledge representations in neural nets has been a difficult problem. Principal components analysis (PCA) of contributions (products of sending activations and conn...
Thomas R. Shultz, Yuriko Oshima-Takane, Yoshio Tak...
NIPS
1994
13 years 5 months ago
Interference in Learning Internal Models of Inverse Dynamics in Humans
Experiments were performed to reveal some of the computational properties of the human motor memory system. We show that as humans practice reaching movements while interacting wi...
Reza Shadmehr, Tom Brashers-Krug, Ferdinando A. Mu...
NIPS
1994
13 years 5 months ago
Plasticity-Mediated Competitive Learning
Nicol N. Schraudolph, Terrence J. Sejnowski
NIPS
1994
13 years 5 months ago
A Connectionist Technique for Accelerated Textual Input: Letting a Network Do the Typing
Each yearpeoplespendahugeamountoftimetyping. Thetextpeopletype typically contains a tremendousamount of redundancy due to predictable word usage patterns and the text's struc...
Dean Pomerleau
NIPS
1994
13 years 5 months ago
Learning Stochastic Perceptrons Under k-Blocking Distributions
We present a statistical method that PAC learns the class of stochastic perceptrons with arbitrary monotonic activation function and weights wi {-1, 0, +1} when the probability d...
Mario Marchand, Saeed Hadjifaradji