An algorithmic uniform method to measure the complexity of statements of finitely refutable statements [6, 7, 8], was used to classify fa-mous/interesting mathematical statements like Fermat's last theorem, Hilbert's tenth problem, the four colour theorem, the Riemann hypothesis, [9, 13, 14]. Working with inductive Turing machines of various orders [1] instead of classical computations, we prop...

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This document specifies the process that Certification Authorities (CAs) and Relying Parties (RPs) participating in the Resource Public Key Infrastructure (RPKI) will need to follow to transition to a new (and probably cryptographically stronger) algorithm set. The process is expected to be completed over a timescale of several years. Consequently, no emergency transition is specified. The tran...

INTRODUCTION Condensed representations have been proposed in (Mannila & Toivonen, 1996) as a useful concept for the optimization of typical data mining tasks. It appears as a key concept Raedt, 2002) and this paper introduces this research domain, its achievements in the context of frequent itemset mining (FIM) from transactional data and its future trends. Within the inductive database framewo...

Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for learning multiple tasks. The csMTL method is tested on three task domains and shown to produce hypotheses for a primary task that are significantly better than standard MTL hypotheses when learning in the presence of rel...

In inductive learning, the order in which concept instances are presented plays an important role in learning performance. Theories predict that interleaving instances of different concepts is especially beneficial if the concepts are highly similar to each other, whereas blocking instances belonging to the same concept provides an advantage for learning lowsimilarity concept structures. This l...

The comprehensive o i l log i n t e r p r e t a t i o n is a procedure of numerical ca l cu la t i on and l o g i c a l (or p l aus ib l e ) in fe rence. In other words, the resu l t s of p re l im ina ry inference w i l l provide a basis f o r the choice of parameters of ca l cu l a t i on formula, and then the r e s u l t s of numerical c a l c u l a t i o n w i l l be used as evidences f o r...