نتایج جستجو برای: m5 decision tree

تعداد نتایج: 498492  

2017
Matthew Heydeman John H. Schwarz Congkao Wen

We present tree-level n-particle on-shell scattering amplitudes of various brane theories with 16 conserved supercharges. These include the world-volume theory of a probe D3-brane or D5-brane in 10D Minkowski spacetime as well as a probe M5-brane in 11D Minkowski spacetime, which describes self interactions of an abelian tensor supermultiplet with 6D (2, 0) supersymmetry. Twistor-string-like fo...

2003
Elias Kalapanidas Nikolaos Avouris Marian Craciun Daniel Neagu

In this study, results of a variety of ML algorithms are tested against artificially polluted datasets with noise. Two noise models are tested, each of these studied on a range of noise levels from 0 to 50algorithm, a linear regression algorithm, a decision tree, a M5 algorithm, a decision table classifier, a voting interval scheme as well as a hyper pipes classifier. The study is based on an e...

Journal: :مجله علوم اعصاب شفای خاتم 0
ali khazaee department of psychology, faculty of education & psychology, university of mohaghegh ardabili, ardabil, iran. usha barahmand department of psychology, faculty of education & psychology, university of mohaghegh ardabili, ardabil, iran.

panic attacks are discrete episodes of intense fear or discomfort accompanied by symptoms such as palpitations, shortness of breath, sweating, trembling, derealization and a fear of losing control or dying. although panic attacks are required for a diagnosis of panic disorder, they also occur in association with a host of other disorders listed in the 5h version of the diagnostic and statistica...

Journal: :Theoretical and Applied Climatology 2022

This study investigates the accuracy of three different techniques with periodicity component for estimating monthly lake levels. The are multivariate adaptive regression splines (MARS), least-square support vector (LSSVR), and M5 model tree (M5-tree). Data from Lake Michigan, located in USA, is used analysis. In first stage modeling, were applied to forecast level fluctuations up 8 months ahea...

Journal: :iranian journal of basic medical sciences 0
masoumeh sarbaz department of medical informatics, school of medicine and faculty member of health information technology and medical records department omid pournik department of medical informatics, faculty of medicine, mashhad university of medical sciences, mashhad, iran and deputy for health, shahid beheshti university of medical sciences, tehran, iran leila ghalichi department of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran khalil kimiafar mashhad university of medical sciences, mashhad, iran and department of health information management, faculty of health management and information sciences, tehran university of medical sciences, tehran, iran amir reza razavi department of medical informatics, faculty of medicine, mashhad university of medical sciences, mashhad, iran

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Journal: :international journal of transportation engineering 0
seyed sina mohri msc student, department of transportation engineering, isfahan university of technology, isfahan, iran hossein haghshenas assistant professor, department of transportation engineering, isfahan university of technology, isfahan, iran

significant advantages of intermodal and containerized transport have increased the global interest to this mode of transportation. this growing interest is reflected in the annual volume of container cargo growth. however, the container transport inside iran does not have a proper place. comparing the count of containers entering and leaving ports with the statistics obtained from railway and ...

Journal: :Neural computation 2006
Durga L. Shrestha Dimitri P. Solomatine

The application of boosting technique to regression problems has received relatively little attention in contrast to research aimed at classification problems. This letter describes a new boosting algorithm, AdaBoost.RT, for regression problems. Its idea is in filtering out the examples with the relative estimation error that is higher than the preset threshold value, and then following the Ada...

Journal: :Neurocomputing 2005
Biswanath Bhattacharya Dimitri P. Solomatine

Reliable estimation of discharge in a river is the crucial component of efficient flood management and surface water planning. Hydrologists use historical data to establish a relationship between water level and discharge, which is known as a rating curve. Once a relationship is established it can be used for predicting discharge from future measurements of water level only. Successful applicat...

Journal: :مدیریت آب و آبیاری 0
میترا بخشوده کارشناس ارشد گروه مهندسی آبیاری و زهکشی پردیس ابوریحان دانشگاه تهران علی رحیمی خوب استاد گروه مهندسی آبیاری و زهکشی پردیس ابوریحان دانشگاه تهران

the purpose of this study was to evaluate three models of artificial neural networks (ann), regression trees (m5) and hargrives-samani (hg) in estimation of reference evapotranspiration. for this purpose was used climate information of sistan va baloochestan, kerman, yazd and khorasan jonoobi from 1998 to 2008. in addition to effect of wind (u) on evapotranspiration (et0), estimation of et0 was...

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