Recent work has shown that recurrent neural networks have the ability to learn finite state automata from examples. In particular, networks using second-order units have been successful at this task.â€¦ (More)

A model for a class of high-capacity associative memories is presented. Since they are based on two-layer recurrent neural networks and their operations depend on the correlation measure, theseâ€¦ (More)

A neural network approach to the problem of color constancy is presented. Various algorithms based on Land's retinex theory are discussed with respect to neurobiological parallels, computationalâ€¦ (More)

A given (overcomplete) discrete oriented pyramid may be converted into a steerable pyramid by interpolation. We present a technique for deriving the optimal interpolation functions (otherwise calledâ€¦ (More)

This paper presents an investigation of odor localization by groups of autonomous mobile robots using principles of Swarm Intelligence. First, we describe a distributed algorithm by which groups ofâ€¦ (More)

This paper presents an investigation of odor localization by groups of autonomous mobile robots using principles of Swarm Intelligence. We describe a distributed algorithm by which groups of agentsâ€¦ (More)

| We present a method for the learning of fuzzy logic membership functions and rules to approximate a numerical function from a set of examples of the function's independent variables and theâ€¦ (More)

1 Background and motivation incremental learning (e.g., in decision tree design the entire tree algorithm must be re-run) while symbolic The problem of induction or "learning from exalgorithms oftenâ€¦ (More)