Rule extraction (RE) from recurrent neural networks (RNNs) refers to finding models of the
underlying RNN, typically in the form of finite state machines, that mimic the network to a …

Dynamic analysis of software systems produces behavioral models that are useful for
analysis, verification and testing. The main techniques for extracting models of functional …

A large class of entity extraction tasks from text that is either semistructured or fully
unstructured may be addressed by regular expressions, because in many practical cases …

To build agents that can collaborate effectively with others, recent research has trained
artificial agents to communicate with each other in Lewis-style referential games. However …

Spelling is a useful way of communicating an exact sequence of letters. When people spell a
word to one another, they tend to elaborate on the letters being spelled by using additional …

We present a coevolutionary algorithm for inferring the topology and parameters of a wide
range of hidden nonlinear systems with a minimum of experimentation on the target system …

Many software components are provided with incomplete specifications and little access to
the source code. Reusing such gray-box components can result in integration faults that can …

Medical text classification assigns medical related text into different categories such as
topics or disease types. Machine learning based techniques have been widely used to …

Learning a deterministic finite automaton (DFA) from a training set of labeled strings is a
hard task that has been much studied within the machine learning community. It is …

Grammatical inference–used successfully in a variety of fields such as pattern recognition,
computational biology and natural language processing–is the process of automatically …