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12,724
Logistic Model Trees
, 2006
"... Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and numeric values. For predicting numeric quantities, there has been work on combining these two schemes into ‘model trees’, i.e. trees that contain linear regr ..."
Abstract
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Cited by 163 (3 self)
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regression functions at the leaves. In this paper, we present an algorithm that adapts this idea for classification problems, using logistic regression instead of linear regression. We use a stagewise fitting process to construct the logistic regression models that can select relevant attributes in the data
The Logistic Model Analysis By
, 2008
"... Socioeconomic determinants of primary school dropout: the logistic model analysis ..."
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Socioeconomic determinants of primary school dropout: the logistic model analysis
Additive Logistic Regression: a Statistical View of Boosting
- Annals of Statistics
, 1998
"... Boosting (Freund & Schapire 1996, Schapire & Singer 1998) is one of the most important recent developments in classification methodology. The performance of many classification algorithms can often be dramatically improved by sequentially applying them to reweighted versions of the input dat ..."
Abstract
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Cited by 1750 (25 self)
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be viewed as an approximation to additive modeling on the logistic scale using maximum Bernoulli likelihood as a criterion. We develop more direct approximations and show that they exhibit nearly identical results to boosting. Direct multi-class generalizations based on multinomial likelihood are derived
, PREDICTIVE EVALUATION OF LOGISTIC MODELS
, 1992
"... Logistic models are assessed for their ability to produce valid forecasts for new observables rather than for their goodness of fit to past observations. The diagnostics described here are based on scoring rules and, being updated easily, are particularly well-suited to a sequential context. Test st ..."
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Logistic models are assessed for their ability to produce valid forecasts for new observables rather than for their goodness of fit to past observations. The diagnostics described here are based on scoring rules and, being updated easily, are particularly well-suited to a sequential context. Test
A Spatial Filtering Specification for the Auto-logistic Model
"... A spatial auto-logistic model ..."
Panel On Transportation And Logistics Modeling
"... Transportation and logistics are fertile areas for modeling. Simulation has traditionally been used in warehousing and inside the distribution center or processing hub in the trucking and package delivery sectors, for baggage systems and passenger queueing in the airline industry, and for detailed m ..."
Abstract
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Cited by 3 (0 self)
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Transportation and logistics are fertile areas for modeling. Simulation has traditionally been used in warehousing and inside the distribution center or processing hub in the trucking and package delivery sectors, for baggage systems and passenger queueing in the airline industry, and for detailed
Regularization paths for generalized linear models via coordinate descent
, 2009
"... We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, twoclass logistic regression, and multinomial regression problems while the penalties include ℓ1 (the lasso), ℓ2 (ridge regression) and mixtures of the two (the elastic ..."
Abstract
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Cited by 724 (15 self)
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We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, twoclass logistic regression, and multinomial regression problems while the penalties include ℓ1 (the lasso), ℓ2 (ridge regression) and mixtures of the two (the
Oil Logistics Modelling
"... This paper highlights some of the dependencies involved in the operation of a typical oil rig logistics system and how agents can help define the behaviour of processes involved in its operations. A model of the logistics system is built using the tkeden package. 1. ..."
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This paper highlights some of the dependencies involved in the operation of a typical oil rig logistics system and how agents can help define the behaviour of processes involved in its operations. A model of the logistics system is built using the tkeden package. 1.
Logistic Model Trees
"... Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. For predicting numeric quantities, there has been work on combining these two schemes into ‘model trees’, i.e. trees that ..."
Abstract
- Add to MetaCart
that contain linear regression functions at the leaves. In this paper, we present an algorithm that adapts this idea for classification problems, using logistic regression instead of linear regression. We use a stagewise fitting process to construct the logistic regression models that can select relevant
Results 1 - 10
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12,724
