Biological Neural Networks
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A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa, superhuman proficiency in challenging… Expand Deep neural network acoustic models produce substantial gains in large vocabulary continuous speech recognition systems. Emerging… Expand Publisher Summary This chapter focuses on the modern notion of short-term memory, called working memory. Working memory refers to… Expand We describe improvements of the currently most popular method for prediction of classically secreted proteins, SignalP. SignalP… Expand Is perception of the whole based on perception of its parts? There is psychological and physiological evidence for parts-based… Expand A two-stage neural network has been used to predict protein secondary structure based on the position specific scoring matrices… Expand Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based… Expand From the Publisher:
Artificial "neural networks" are now widely used as flexible models for regression classification… Expand A memory-based network that provides estimates of continuous variables and converges to the underlying (linear or nonlinear… Expand A model for a large network of "neurons" with a graded response (or sigmoid input-output relation) is studied. This deterministic… Expand