نتایج جستجو برای: c45 algorithm

تعداد نتایج: 754261  

2006
GAIL A. CARPENTER G. A. Carpenter A-H. Tan

This paper shows how knowledge, in the form of fuzzy rules, can be derizted from a superuised learning neural network called fuzzy ARTMAP. Rule extraction proceeds in two stages: pruning, which simplifies the network structure by remooing excessiae recognition categories and weights; and quantization of continuous learned weights, which allows the final system state to be translated into a usab...

Journal: :IAES International Journal of Artificial Intelligence 2023

<p>The limitations of medical personnel, especially heart disease, cause difficulties in diagnosing disorders, so disorders is not easy, it takes the ability and experience a cardiologist who has expertise to be able accurately diagnose disorders. Several studies field computing have been carried out cardiac abnormalities patients. This study was conducted test results classification usin...

1995
Ron Kohavi Chia-Hsin Li

We describe a supervised learning algorithm, EODG that uses mutual information to build an oblivious decision tree The tree is then converted to an Oblivious read-Onre Decision Graph (OODG) b\ merging nodes at the same level of the tree For domains that art appropriate for both decision trees and OODGs, per formance is approximately the same aS THAT of C45 ), but the number of nodes in the OODG...

Journal: :The American Economic Review 2022

This paper combines a data-rich environment with machine learning algorithm to provide new estimates of time-varying systematic expectational errors (“belief distortions”) embedded in survey responses. We find sizable distortions even for professional forecasters, all respondent-types overweighting the implicit judgmental component their forecasts relative what can be learned from publicly avai...

2008
Jane M. Binner Thomas Elger Birger Nilsson Jonathan A. Tepper

We expand Nakamura’s (2005) neural network based inflation forecasting experiment to an alternative non-linear model; a Markov switching autoregressive (MS-AR) model. The two non-linear models perform approximately on par and outperform the linear autoregressive model on short forecast horizons of one and two quarters. Furthermore, the MS-AR model is the best performer on longer horizons of thr...

2011
Dmitrijs Stepanovs Anatoly Mishnev

The structure of the title compound, pentoxifylline, C(13)H(18)N(4)O(3), has been previously characterized as a triclinic polymorph [Pavelčík et al. (1989 ▶). Acta Cryst. C45, 836-837]. We have discovered the monoclinic form. There are no strong hydrogen bonds in the crystal structure, rather, moderate C-H⋯O hydrogen bonds are present, which serve to stabilize the three-dimensional architecture.

2002
Andrew P. Blake George Kapetanios

This paper proposes pure significance tests for the absence of nonlinearity in cointegrating relationships. No assumption of the functional form of the nonlinearity is made. It is envisaged that the application of such tests could form the first step towards specifying a nonlinear cointegrating relationship for empirical modelling. The asymptotic and small sample properties of our tests are inv...

2005
Geraint Johnes

Regression and neural network models of wage determination are constructed where the explanatory variables include detailed information about skills. People skills, strategic skills, and IT skills all carry strong and significant wage premia; problemsolving skills (surprisingly) and physical skills (less surprisingly) do not. In contrast to the impact of school curriculum on subsequent earnings...

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