Search Results - "Deng, Houtao"

Gene selection with guided regularized random forest by Deng, Houtao, Runger, George

“…The regularized random forest (RRF) was recently proposed for feature selection by building only one ensemble. In RRF the features are evaluated on a part of…”
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Deep convolutional neural networks for multi-modality isointense infant brain image segmentation by Zhang, Wenlu, Li, Rongjian, Deng, Houtao, Wang, Li, Lin, Weili, Ji, Shuiwang, Shen, Dinggang

“…The segmentation of infant brain tissue images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) plays an important role in studying…”
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CBC: An associative classifier with a small number of rules by Deng, Houtao, Runger, George, Tuv, Eugene, Bannister, Wade

“…Associative classifiers have been proposed to achieve an accurate model with each individual rule being interpretable. However, existing associative…”
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Integrative analysis of the connectivity and gene expression atlases in the mouse brain by Ji, Shuiwang, Fakhry, Ahmed, Deng, Houtao

“…Brain function is the result of interneuron signal transmission controlled by the fundamental biochemistry of each neuron. The biochemical content of a neuron…”
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Detecting the Early Stage of Phaeosphaeria Leaf Spot Infestations in Maize Crop Using In Situ Hyperspectral Data and Guided Regularized Random Forest Algorithm by Adam, Elhadi, Deng, Houtao, Odindi, John, Abdel-Rahman, Elfatih M., Mutanga, Onisimo

“…Phaeosphaeria leaf spot (PLS) is considered one of the major diseases that threaten the stability of maize production in tropical and subtropical African…”
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Interpreting tree ensembles with inTrees by Deng, Houtao

“…Tree ensembles such as random forests and boosted trees are accurate but difficult to understand. In this work, we provide the interpretable trees (inTrees)…”
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Feature selection via regularized trees by Houtao Deng, Runger, G.

“…We propose a tree regularization framework, which enables many tree models to perform feature selection efficiently. The key idea of the regularization…”
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A distance-based control chart for monitoring multivariate processes using support vector machines by He, Shuguang, Jiang, Wei, Deng, Houtao

“…Traditional control charts assume a baseline parametric model, against which new observations are compared in order to identify significant departures from the…”
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A time series forest for classification and feature extraction by Deng, Houtao, Runger, George, Tuv, Eugene, Vladimir, Martyanov

“…A tree-ensemble method, referred to as time series forest (TSF), is proposed for time series classification. TSF employs a combination of entropy gain and a…”
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Diagnostic monitoring of high-dimensional networked systems via a LASSO-BN formulation by Jin, Yan, Huang, Shuai, Wang, Guan, Deng, Houtao

“…Quality control of multivariate processes has been extensively studied in the past decades; however, fundamental challenges still remain due to the complexity…”
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SMT: Sparse multivariate tree by Deng, Houtao, Baydogan, Mustafa Gokce, Runger, George

“…A multivariate decision tree attempts to improve upon the single variable split in a traditional tree. With the increase in datasets with many features and a…”
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System Complexity Reduction via Feature Selection by Deng, Houtao

“…This dissertation transforms a set of system complexity reduction problems to feature selection problems. Three systems are considered: classification based on…”
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Interpreting Tree Ensembles with inTrees by Deng, Houtao

“…Tree ensembles such as random forests and boosted trees are accurate but difficult to understand, debug and deploy. In this work, we provide the inTrees…”
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Guided Random Forest in the RRF Package by Deng, Houtao

“…Random Forest (RF) is a powerful supervised learner and has been popularly used in many applications such as bioinformatics. In this work we propose the guided…”
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Leveraging Elastic Demand for Forecasting by Deng, Houtao, Krishnan, Ganesh, Chen, Ji, Liang, Dong

“…Demand variance can result in a mismatch between planned supply and actual demand. Demand shaping strategies such as pricing can be used to reduce the…”
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Leveraging Elastic Demand for Forecasting by Deng, Houtao, Krishnan, Ganesh, Chen, Ji, Liang, Dong

“…Demand variance can result in a mismatch between planned supply and actual demand. Demand shaping strategies such as pricing can be used to shift elastic…”
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System complexity reduction via feature selection by Deng, Houtao

“…This dissertation transforms a set of system complexity reduction problems to feature selection problems. Three systems are considered: classification based on…”
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Gene selection with guided regularized random forest by Deng, Houtao, Runger, George

“…The regularized random forest (RRF) was recently proposed for feature selection by building only one ensemble. In RRF the features are evaluated on a part of…”
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Feature Selection via Regularized Trees by Deng, Houtao, Runger, George

“…We propose a tree regularization framework, which enables many tree models to perform feature selection efficiently. The key idea of the regularization…”
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A Time Series Forest for Classification and Feature Extraction by Deng, Houtao, Runger, George, Tuv, Eugene, Vladimir, Martyanov

“…Information Sciences 239: 142-153 (2013) We propose a tree ensemble method, referred to as time series forest (TSF), for time series classification. TSF…”
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