Learning Algorithms.- Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems.- Kernel Learning for Local Learning Based Clustering.- Projective Nonnegative Matrix Factorization with ?-Divergence.- Active Generation of Training Examples in Meta-Regression.- A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains.- Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning.- MINLIP: Efficient Learning of ...
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Learning Algorithms.- Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems.- Kernel Learning for Local Learning Based Clustering.- Projective Nonnegative Matrix Factorization with ?-Divergence.- Active Generation of Training Examples in Meta-Regression.- A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains.- Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning.- MINLIP: Efficient Learning of Transformation Models.- Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data.- Optimal Training Sequences for Locally Recurrent Neural Networks.- Statistical Instance-Based Ensemble Pruning for Multi-class Problems.- Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes.- Mixing Different Search Biases in Evolutionary Learning Algorithms.- Semi-supervised Learning for Regression with Co-training by Committee.- An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data.- Probability-Based Distance Function for Distance-Based Classifiers.- Constrained Learning Vector Quantization or Relaxed k-Separability.- Minimization of Quadratic Binary Functional with Additive Connection Matrix.- Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory.- Computational Neuroscience.- Synchrony State Generation in Artificial Neural Networks with Stochastic Synapses.- Coexistence of Cell Assemblies and STDP.- Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle Control.- Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain.- A Model of Neuronal Specialization Using Hebbian Policy-Gradient with "Slow" Noise.- How Bursts Shape the STDP Curve in the Presence/Absence of GABAergic Inhibition.- Optimizing Generic Neural Microcircuits through Reward Modulated STDP.- Calcium Responses Model in Striatum Dependent on Timed Input Sources.- Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2.- Hippocampus, Amygdala and Basal Ganglia Based Navigation Control.- A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks.- Continuous Attractors of Lotka-Volterra Recurrent Neural Networks.- Learning Complex Population-Coded Sequences.- Structural Analysis on STDP Neural Networks Using Complex Network Theory.- Time Coding of Input Strength Is Intrinsic to Synapses with Short Term Plasticity.- Information Processing and Timing Mechanisms in Vision.- Review of Neuron Types in the Retina: Information Models for Neuroengineering.- Brain Electric Microstate and Perception of Simultaneously Audiovisual Presentation.- A Model for Neuronal Signal Representation by Stimulus-Dependent Receptive Fields.- Hardware Implementations and Embedded Systems.- Area Chip Consumption by a Novel Digital CNN Architecture for Pattern Recognition.- Multifold Acceleration of Neural Network Computations Using GPU.- Training Recurrent Neural Network Using Multistream Extended Kalman Filter on Multicore Processor and Cuda Enabled Graphic Processor Unit.- A Non-subtraction Configuration of Self-similitude Architecture for Multiple-Resolution Edge-Filtering CMOS Image Sensor.- Current-Mode Computation with Noise in a Scalable and Programmable Probabilistic Neural VLSI System.- Minimising Contrastive Divergence with Dynamic Current Mirrors.- Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis.- Image Recognition in Analog VLSI with On-Chip Learning.- Behavior Modeling by Neural Networks.- Statistical Parameter Identification of Analog Integrated Circuit Reverse Models.- A New FGMOST Euclidean Distance Computational Circuit Based on Algebraic Mean of the Input Potentials.- FPGA Implementation of Support Vector Machines for 3D Object Identification.- Reconfigurable MAC-Based Architecture...
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New. Trade paperback (US). Glued binding. 1002 p. Contains: Illustrations, black & white, Tables, black & white, Figures. Theoretical Computer Science and General Issues, 5769.
