The central issue of this paper is concerned with the knowledge representation used to encode inductively acquired concept descriptions. The central question being how to reconcile, in concept learning, the need for accurate representations (in terms of classification) as well as comprehensible ones (in terms of human-understandability)? It is known that language biases used in Machine Learning...

Engineers tasked with designing large and complex systems are continually in need of decision-making aids able to sift through enormous amounts of data produced through simulation and experimentation. Understanding these systems often requires visualizing multidimensional design data. Visual cues such as size, color, and symbols are often used to denote specific variables (dimensions) as well a...

Classical microwave circuit theory is incapable of representing some phenomena at the quantum level. To include statistical effects, various theoretical treatments can be employed. Quantum input-output network (QION) one such treatment. Another formalism, called SLH theory, incorporates scattering matrices (S), coupling vectors (L), and system Hamiltonians (H). These require a reformulation cla...

Extractive summarization techniques typically aim to maximize the information coverage of the summary with respect to the original corpus and report accuracies in ROUGE scores. Automated text summarization techniques should consider the dimensions of comprehensibility, coherence and readability. In the current work, we identify the discourse structure which provides the context for the creation...

Among a large number of existing artificial intelligence (AI)-based techniques, artificial neural network (ANN) is one of the most widely used techniques, which has been applied to many road engineering problems. They are especially useful as predictive models because they do not require prior knowledge of the input data distribution and have shown high prediction performance. However, despite ...

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Credit scoring is the assessment of the risk associated with a consumer (an organization or an individual) that apply for the credit. Therefore, the problem of credit scoring can be stated as a discrimination between those applicants whom the lender is confident will repay credit and those applicants who are considered by the lender as insufficiently reliable. In this work we propose a novel me...

A major challenge in the post-genomic era is a better understanding of how human genetic alterations involved in disease affect the gene products. The KD4v (Comprehensible Knowledge Discovery System for Missense Variant) server allows to characterize and predict the phenotypic effects (deleterious/neutral) of missense variants. The server provides a set of rules learned by Induction Logic Progr...

Genetic Programming (GP) has been emerged as a promising approach to deal with classification task in data mining. This work extends the tree representation of GP to evolve multiple comprehensible IF-THEN classification rules. In the paper, we introduce a concept mapping technique for fitness evaluation of individuals. A covering algorithm that employs an artificial immune system-like memory ve...

MOTIVATION It is only a matter of time until a user will see not many but one integrated database of information for molecular biology. Is this true? Is it a good thing? Why will it happen? Where are we now? What developments are fostering and what developments are impeding progress towards this end? SUPPLEMENTARY INFORMATION A list of WWW resources devoted to database issues in molecular bio...