In this work we study variable-significance in classification using the Random Forest proximity matrix and local Importance matrix. We use the proximity m atrix t o g roup t he s amples acr oss a number of c lusters a nd use t hese clusters to s tratify th e importance of a variable. We apply t his a pproach t o a cardiovascular g enotype d ataset f or sample classification b ased o n coronary ...

Financial crime is a rampant but hidden threat. In spite of this, predictive policing systems disproportionately target “street crime” rather than white collar crime. This paper presents the White Collar Crime Early Warning System (WCCEWS), a white collar crime predictive model that uses random forest classifiers to identify high risk zones for incidents of financial crime.

We describe a method for human parsing that is straightforward and competes with state-of-the-art performance on standard datasets. Unlike the state-of-the-art, our method does not search for individual body parts or poselets. Instead, a regression forest is used to predict a body configuration in body-space. The output of this regression forest is then combined in a novel way. Instead of avera...

Automatic recognition of multiple musical instruments in polyphonic and polytimbral music is a difficult task, but often attempted to perform by MIR researchers recently. In papers published so far, the proposed systems were validated mainly on audio data obtained through mixing of isolated sounds of musical instruments. This paper tests recognition of instruments in real recordings, using a re...

Studying the geometry generated by Gaussian and Gaussianrelated random fields via their excursion sets is now a well developed and well understood subject. The purely non-Gaussian scenario has, however, not been studied at all. In this paper we look at three classes of stable random fields, and obtain asymptotic formulae for the mean values of various geometric characteristics of their excursio...

background: kidney transplantation is the best alternative treatment for end-stage renal disease. several studies have been devoted to investigate predisposing factors of graft rejection. however, there is inconsistency between the results. the objective of the present study was to utilize an intuitive and robust approach for variable selection, random survival forests (rsf), and to identify im...

Random increasing k-trees represent an interesting, useful class of strongly dependent graphs for which analytic-combinatorial tools can be successfully applied. We study in this paper a notion called connectivity-profile and derive asymptotic estimates for it; some interesting consequences will also be given.

Using a gift exchange experiment, we show that the ability of reciprocity to overcome incentive problems inherent in principal-agent settings is greatly reduced when the agent’s effort is distorted by random shocks and transmitted imperfectly to the principal. Specifically, we find that gift exchange contracts without shocks encourage effort and wages well above standard predictions. However, t...

Does a Member of the British Parliament’s voting record have any effect on their constituency electoral performance? Scholars have assumed not, else they have tested the proposition with an extremely limited number of roll calls. Congruent with public opinion findings we contend that, paradoxically, voters conditionally reward both ‘party unity’ and ‘independent mindedness’ in their elected rep...