Modeling and Prediction of Human Behavior | 1999/01/01 | English | 212 |
Algorithmic Stability and Sanity-Check Bounds for Leave-One-Out Cross-Validation | 1999/08/01 | English | 212 |
Multiple Model-Based Reinforcement Learning | 2002/06/01 | English | 208 |
Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons | 2002/09/01 | English | 207 |
An Efficient Gradient-Based Algorithm for On-Line Training of Recurrent Network Trajectories | 1990/12/01 | English | 206 |
Flat Minima | 1997/01/01 | English | 204 |
A Function Estimation Approach to Sequential Learning with Neural Networks | 1993/11/01 | English | 204 |
SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks | 2018/06/01 | English | 202 |
Estimating a State-Space Model from Point Process Observations | 2003/05/01 | English | 201 |
A Model of Spatial Map Formation in the Hippocampus of the Rat | 1996/01/01 | English | 201 |
Synergy in a Neural Code | 2000/07/01 | English | 200 |
Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces | 2000/07/01 | English | 200 |
Stationary Bumps in Networks of Spiking Neurons | 2001/07/01 | English | 199 |
Probabilistic Interpretation of Population Codes | 1998/02/01 | English | 198 |
Mutual Information, Fisher Information, and Population Coding | 1998/10/01 | English | 196 |
Finite State Automata and Simple Recurrent Networks | 1989/09/01 | English | 194 |
Are Loss Functions All the Same? | 2004/05/01 | English | 194 |
Spike-Timing-Dependent Plasticity in Balanced Random Networks | 2007/06/01 | English | 193 |
The Upstart Algorithm: A Method for Constructing and Training Feedforward Neural Networks | 1990/06/01 | English | 193 |
A Survey on Deep Learning for Multimodal Data Fusion | 2020/05/01 | English | 193 |
Stochastic Optimal Control and Estimation Methods Adapted to the Noise Characteristics of the Sensorimotor System | 2005/05/01 | English | 193 |
Local Learning Algorithms | 1992/11/01 | English | 192 |
Incremental Online Learning in High Dimensions | 2005/12/01 | English | 191 |
An Equivalence Between Sparse Approximation and Support Vector Machines | 1998/08/01 | English | 191 |
Combined 5 × 2 cv F Test for Comparing Supervised Classification Learning Algorithms | 1999/11/01 | English | 189 |
Independent Factor Analysis | 1999/05/01 | English | 189 |
Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions | 2004/02/01 | English | 189 |
Regularization in the Selection of Radial Basis Function Centers | 1995/05/01 | English | 189 |
Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering | 2004/05/01 | English | 187 |
Bayesian Regularization and Pruning Using a Laplace Prior | 1995/01/01 | English | 187 |