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Interpretable Multiclass Models for Corporate Credit Rating Capable of Expressing Doubt
Corporate credit rating is a process to classify commercial enterprises based on their creditworthiness. Machine learning algorithms can construct classification models, but in general they do not tend to be 100% accurate. ...
Double Lie algebroids and representations up to homotopy
We showthat a double Lie algebroid, together with a chosen decomposition, is equivalent to a pair of 2-term representations up to homotopy satisfying compatibility conditions which extend the notion of matched pair of ...
The filament sensor for near real-time detection of cytoskeletal fiber structures.
A reliable extraction of filament data from microscopic images is of high interest in the analysis of acto-myosin structures as early morphological markers in mechanically guided differentiation of human mesenchymal stem ...
Calculation and optimization of thresholds for sets of software metrics
(Springer US, 2011)
In this article, we present a novel algorithmic method for the calculation of thresholds for a metric set. To this aim, machine learning and data mining techniques are utilized. We define a data-driven methodology that can ...
Conservativity of random Markov fibred systems
In this paper we extend results concerning conservativity and the existence of -finite measures to random transformations which admit a countable relative Markov partition.We consider random systems which are locally ...
Locating a minisum circle in the plane
We consider the problem of locating a circle with respect to existing facilities in the plane such that the sum of weighted distances between the circle and the facilities is minimized, i.e., we approximate a set of given ...
On finite groups whose Sylow subgroups have a bounded number of generators
(SP Birkhäuser Verlag Basel, 2011)
Let G be a finite non-nilpotent group such that every Sylow subgroup of G is generated by at most δ elements, and such that p is the largest prime dividing |G|. We show that G has a non-nilpotent image G/N, such that N is ...
The Factorization Method for Inverse Problems. By Andreas Kirsch and Natalia Grinberg.
Sparse Deconvolution Methods for Ultrasonic NDT
In this work we present two sparse deconvolution methods for nondestructive testing. The first method is a special matching pursuit (MP) algorithm in order to deconvolve the mixed data (signal and noise), and thus to remove ...
Model-based testing as a service
The quality ofWeb services is an important factor for businesses that advertise or sell their services in the Internet. Failures can directly lead to fewer costumers or security problems. However, the testing of complexWeb ...