Induced spawning of fish often requires hormone injections. Preparations used for hormone-induced spawning must be mixed properly, and the correct amount must be used to be effective. This publication describes common techniques used to calculate the hormone concentration and dose, prepare hormone solutions, and inject the fish for induced spawning. To calculate the proper dosage, 1) the recomm...

We propose a concise approximate description, and a method for efficiently obtaining this description, via adaptive random sampling of the performance (running time, memory consumption, or any other profileable numerical quantity) of a given algorithm on some low-dimensional rectangular grid of inputs. The formal correctness is proven under reasonable assumptions on the algorithm under consider...

Abstract. The personalized PageRank diffusion is a fundamental tool in network analysis tasks like community detection and link prediction. This tool models the spread of a quantity from a small, initial set of seed nodes, and has long been observed to stay localized near this seed set. We derive a sublinear upper-bound on the number of nonzeros necessary to approximate a personalized PageRank ...

Scientific discovery implies exploring a vast search space of possible hypotheses in the hope of finding a model befitting the available data. Our present aim is to use Genetic Programming (GP) and a representation involving both crisp numbers and fuzzy quantity spaces to learn models of simple physical systems from a set of imperfect and incomplete data. We use the ECJ framework, to learn mode...

We study the problem faced by a supplier deciding how to dynamically allocate limited capacity among a portfolio of customers who remember the fill rates provided to them in the past. A customer’s order quantity is positively correlated with past fill rates. Customers differ from one another in their contribution margins, in their sensitivity to the past, and in their demand volatility. We seek...

Heritability is often used by plant breeders and geneticists as a measure of precision of a trial or a series of trials. Its main use is for computing the response to selection. Most formulas proposed for calculating heritability implicitly assume balanced data and independent genotypic effects. Both of these assumptions are often violated in plant breeding trials. This article proposes a simul...

The Variational Bayesian framework has been widely used to approximate the Bayesian learning. In various applications, it has provided computational tractability and good generalization performance. In this paper, we discuss the Variational Bayesian learning of the mixture of exponential families and provide some additional theoretical support by deriving the asymptotic form of the stochastic c...

We introduce a characterisation of probabilistic transition systems (PTS) in terms of linear operators on some suitably defined vector space representing the set of states. Various notions of process equivalences can then be re-formulated as abstract linear operators related to the concrete PTS semantics via a probabilistic abstract interpretation. These process equivalences can be turned into ...

In this note we present results of a computational investigation of the extrapolated penalty method for approximate solution of elliptic boundary value problems. We investigate the effects of extrapolation and present an iterative technique for solving the extra linear algebraic systems necessary to perform the process. We indicate how convergence of the iterative procedure may be accelerated w...

The effects of the incubation period q on the dynamics of non-lethal infectious diseases in a fixed-size population are studied by means of a delay differential equation model. It is noted that the ratio between the quantity q and the time τ for recovering from the illness plays an important role in the onset of the epidemic breakthrough. An approximate analytic expression for the solution of t...