Journals in DBLP

Neural Computation
1997, volume: 9, number: 2

1. Padhraic Smyth, David Heckerman, Michael I. Jordan
   Probabilistic Independence Networks for Hidden Markov Probability Models. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 1997, v:9, n:2, pp:227-269 [Journal]
   
2. Peter Dayan, Geoffrey E. Hinton
   Using Expectation-Maximization for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 1997, v:9, n:2, pp:271-278 [Journal]
   
3. Wolfgang Maass
   Fast Sigmoidal Networks via Spiking Neurons. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 1997, v:9, n:2, pp:279-304 [Journal]
   
4. Doron Tal, Eric L. Schwartz
   Computing with the Leaky Integrate-and-Fire Neuron: Logarithmic Computation and Multiplication. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 1997, v:9, n:2, pp:305-318 [Journal]
   
5. Khashayar Pakdaman, C. P. Malta, C. Grotta-Ragazzo, Jean-François Vibert
   Effect of Delay on the Boundary of the Basin of Attraction in a Self-Excited Single Graded-Response Neuron. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 1997, v:9, n:2, pp:319-336 [Journal]
   
6. Eduardo D. Sontag
   Shattering All Sets of k Points in 'General Position' Requires (k - 1)/2 Parameters. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 1997, v:9, n:2, pp:337-348 [Journal]
   
7. Vijay Balasubramanian
   Statistical Inference, Occam's Razor, and Statistical Mechanics on the Space of Probability Distributions. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 1997, v:9, n:2, pp:349-368 [Journal]
   
8. Robert A. Jacobs
   Bias/Variance Analyses of Mixtures-of-Experts Architectures. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 1997, v:9, n:2, pp:369-383 [Journal]
   
9. Andrew Chi-Sing Leung, Lai-Wan Chan
   The Behavior of Forgetting Learning in Bidrectional Associative Memory. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 1997, v:9, n:2, pp:385-401 [Journal]
   
10. Martin Eldracher, Alexander Staller, René Pompl
    Adaptive Encoding Strongly Improves Function Approximation with CMAC. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:2, pp:403-417 [Journal]
    
11. John G. Elias, David P. M. Northmore, Wayne Westerman
    An Analog Memory Circuit for Spiking Silicon Neurons. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:2, pp:419-440 [Journal]
    
12. Sean B. Holden, Mahesan Niranjan
    Average-Case Learning Curves for Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:2, pp:441-460 [Journal]
    
13. Lu Yingwei, Narasimhan Sundararajan, Paramasivan Saratchandran
    A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:2, pp:461-478 [Journal]