ABSTRACT AND CONCLUSION NEEDS TO BE RE-WRITTEN. ESPECIALLY WE SHOULD EMPHASIZE OUR CONTRIBUTION AND ORGINALITY OF THE WORK IN CONCLUSION. In this paper we describe the ILA-2 rule induction algorithm from the machine learning domain. ILA2 is the improved version of a novel inductive learning algorithm, namely ILA. We first describe the basic algorithm ILA, then present how the algorithm was impr...

Several well-developed approaches to inductive learning now exist, but each has speci c limitations that are hard to overcome. Multi-strategy learning attempts to tackle this problem by combining multiple methods in one algorithm. This report describes a uni cation of two widely-used empirical approaches: rule induction and instance-based learning. In the new algorithm, instances are treated as...

BACKGROUND The introduction and use of next-generation sequencing (NGS) techniques have taken genomic research into a new era; however, implementing such powerful techniques in diagnostics laboratories for applications such as resequencing of targeted disease genes requires attention to technical issues, including sequencing template enrichment, management of massive data, and high interference...

We describe a methodology for upgrading existing attribute value learners towards rst order logic. This method has several advantages: one can proot from existing research on propositional learners (and inherit its eeciency and eeectiveness), relational learners (and inherit its expressiveness) and PAC-learning (and inherit its theoretical basis). Moreover there is a clear relationship between ...

We present a set covering algorithm and a compositional algorithm to describe sequences of www pages visits in click-stream data. The set covering algorithm utilizes the approach of rule specialization like the well known CN2 algorithm, the compositional algorithm is based on our original KEX algorithm, however both algorithms deal with sequences of events (visited pages) instead of sets of att...

A novel body-centered tetragonal CN(2) (4 units per cell), named as bct-CN(2), has been predicted here using our newly developed particle swarm optimization algorithm for crystal structure prediction. Bct-CN(2) is energetically much superior (3.022 eV per f.u.) to previously proposed pyrite structure and stable against decomposition into a mixture of diamond + N(2) or 1/3(C(3)N(4) + N(2)) above...

Inducing general functions from specific training examples is a central problem in the machine learning. Using sets of If-then rules is the most expressive and readable manner. To find If-then rules, many induction algorithms such as ID3, AQ, CN2 and their variants, were proposed. Sequential covering is the kernel technique of them. To avoid testing all possible selectors, Entropy gain is used ...

Profiles of the index of refraction structure parameter (Cn2), as well as inner and outer scales of turbulence, are of high importance to estimate and predict the channel behavior characterizing satellite to ground optical links. The Cn2 HufnagelValley model is up to date the most commonly used one due to its simplicity and relative accuracy. However, it can be quite inadequate especially for g...

MOTIVATION With the advent of meta-'omics' data, the use of metabolic networks for the functional analysis of microbial communities became possible. However, while network-based methods are widely developed for single organisms, their application to bacterial communities is currently limited. RESULTS Herein, we provide a novel, context-specific reconstruction procedure based on metaproteomic ...

There are three domains in living nature: archaea, bacteria and eukarya. It has been shown, trough a number of multivariate tools, that codon usage, a 64 dimensional vector that stablishes how often a given organism makes use of each codon, is related to domain. Another method is proposed here based in rule and tree induction from codon usage of several organisms. It is shown that domain can be...