Sciweavers

TCS
2010
13 years 5 months ago
Alternating states for dual nondeterminism in imperative programming
The refinement calculus of Back, Morgan, Morris, and others is based on monotone predicate transformers (weakest preconditions) where conjunctions stand for demonic choices betwee...
Wim H. Hesselink
TCS
2010
13 years 5 months ago
Comparing free algebras in Topological and Classical Domain Theory
We compare how computational effects are modelled in Classical Domain Theory and Topological Domain Theory. Both of these theories provide powerful toolkits for denotational sema...
Ingo Battenfeld
TCS
2010
13 years 5 months ago
On the computational power of BlenX
We present some decidability and undecidability results for subsets of the BlenX Language, a process-calculi-based programming language developed for modelling biological processe...
Alessandro Romanel, Corrado Priami
TCS
2010
13 years 5 months ago
On a special class of primitive words
When representing DNA molecules as words, it is necessary to take into account the fact that a word u encodes basically the same information as its Watson-Crick complement θ(u), w...
Elena Czeizler, Lila Kari, Shinnosuke Seki
TCS
2010
13 years 5 months ago
Comparing notions of randomness
Abstract. It is an open problem in the area of effective (algorithmic) randomness whether Kolmogorov-Loveland randomness coincides with Martin-L¨of randomness. Joe Miller and And...
Bart Kastermans, Steffen Lempp
TCS
2010
13 years 5 months ago
Maximum likelihood analysis of algorithms and data structures
We present a new approach for an average-case analysis of algorithms and data structures that supports a non-uniform distribution of the inputs and is based on the maximum likelih...
Ulrich Laube, Markus E. Nebel
TCS
2010
13 years 5 months ago
Canonical finite state machines for distributed systems
There has been much interest in testing from finite state machines (FSMs) as a result of their suitability for modelling or specifying state-based systems. Where there are multip...
Robert M. Hierons
TCS
2010
13 years 5 months ago
Maximal width learning of binary functions
This paper concerns learning binary-valued functions defined on IR, and investigates how a particular type of ‘regularity’ of hypotheses can be used to obtain better generali...
Martin Anthony, Joel Ratsaby