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NIPS
1996
13 years 5 months ago
Combinations of Weak Classifiers
To obtain classification systems with both good generalizat`ion performance and efficiency in space and time, we propose a learning method based on combinations of weak classifiers...
Chuanyi Ji, Sheng Ma
NIPS
1994
13 years 5 months ago
Learning to Play the Game of Chess
This paper presents NeuroChess, a program which learns to play chess from the final outcome of games. NeuroChess learns chess board evaluation functions, represented by artificial...
Sebastian Thrun
NIPS
1996
13 years 5 months ago
Reconstructing Stimulus Velocity from Neuronal Responses in Area MT
We employed a white-noise velocity signal to study the dynamics of the response of single neurons in the cortical area MT to visual motion. Responses were quantified using reverse...
Wyeth Bair, James R. Cavanaugh, J. Anthony Movshon
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