Model assessment through renormalization group in statistical learning

Model assessment through renormalization group in statistical learning

10.2316/Journal.201.2014.2.201-2567

Saved in:

Bibliographic Details
Main Authors:	Wang, Q.-G., Yu, C., Zhang, Y.
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Article
Published:	2014
Subjects:	Binary classification Model assessment Renor-malization Group Statistical learning Support vector machines
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/82708
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

Similar Items

Protein function and inhibitor prediction by statistical learning approach
by: HAN LIANYI
Published: (2010)

Discriminant analysis in pairwise kernel learning for SVM classification
by: Jiang, H., et al.
Published: (2014)

Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods
by: Li, H., et al.
Published: (2014)

Computer prediction of allergen proteins from sequence-derived protein structural and physicochemical properties
by: Cui, J., et al.
Published: (2014)

Minerva: Sequential covering for rule extraction
by: Huysmans, J., et al.
Published: (2013)

Statistical learning approaches for predicting pharmacological properties of pharmaceutical agents
by: LI HU
Published: (2010)

Question Classification using Support Vector Machines
by: Zhang, D., et al.
Published: (2013)

Text classification with kernels on the multinomial manifold
by: Zhang, D., et al.
Published: (2014)

Thermal error measurement and modelling in machine tools. Part II. Hybrid Bayesian Network - Support vector machine model
by: Ramesh, R., et al.
Published: (2014)

Does drug-target have a likeness?
by: Xu, H., et al.
Published: (2014)

Learning with support vector machines for query-by-multiple-examples
by: Dell, Z., et al.
Published: (2013)

Essay question generator based on Bloom’s taxonomy for assessing automated essay scoring system
by: Contreras, Jennifer O., et al.
Published: (2021)

Learning the drug target-likeness of a protein
by: Xu, H., et al.
Published: (2014)

Classification of landcover from combined LiDAR and orthophotos using support vector machine
by: Pula, Rolando A., et al.
Published: (2019)

Model assessment with renormalization group in statistical learning
by: Wang, Q.-G., et al.
Published: (2014)

A hybrid SOM-SVM approach for the zebrafish gene expression analysis
by: Wu, W., et al.
Published: (2013)

Generating an SVM Kernel function using genetic algorithm
by: IMMER, BALDOS
Published: (2012)

Renormalization-group study of the Nagel-Schreckenberg model
by: Teoh, Han Kheng, et al.
Published: (2018)

Modeling with renormalization group and randomization.
by: YU CHAO
Published: (2014)

Effect of training data size and noise level on support vector machines virtual screening of genotoxic compounds from large compound libraries
by: Kumar, P., et al.
Published: (2014)

A STUDY OF EXAMPLE-BASED LEARNING FROM LARGE DATASETS
by: SYED NADEEM AHMED
Published: (2019)

A STUDY OF EXAMPLE-BASED LEARNING FROM LARGE DATASETS
by: SYED NADEEM AHMED
Published: (2019)

Supervised and unsupervised machine learning for side-channel based Trojan detection
by: Jap, Dirmanto, et al.
Published: (2017)

Web taxonomy integration using support vector machines
by: Zhang, D., et al.
Published: (2013)

A new method on gene selection for tissue classification
by: Hao, Y., et al.
Published: (2014)

A robust method for generating discriminative gene clusters
by: Xu, M., et al.
Published: (2014)

A fast iterative nearest point algorithm for support vector machine classifier design
by: Keerthi, S.S., et al.
Published: (2014)

Machine learning-based prediction of survival prognosis in cervical cancer
by: Ding, Dongyan, et al.
Published: (2022)

Novel multi-class feature selection methods using sensitivity analysis of posterior probabilities
by: Shen, K.-Q., et al.
Published: (2011)

Prediction of protein allergenicity using local description of amino acid sequence
by: Tong, J.C., et al.
Published: (2014)

Double Updating Online Learning
by: ZHAO, Peilin, et al.
Published: (2011)

Unified locally linear classifiers with diversity-promoting anchor points
by: LIU, Chenghao, et al.
Published: (2018)

Database development and machine learning prediction of pharmaceutical agents
by: LIU XIANGHUI
Published: (2010)

SVM compound kernel functions for vehicle target classification
by: Roxas, Edison A., et al.
Published: (2018)

SVM-based dynamic modeling for machine life stage identification and machine wear estimation
by: Zhou, J.-H., et al.
Published: (2014)

Identifying novel type ZBGs and nonhydroxamate HDAC inhibitors through a SVM based virtual screening approach
by: Liu, X.H., et al.
Published: (2014)

A hybrid evolutionary algorithm for attribute selection in data mining
by: Tan, K.C., et al.
Published: (2014)

Prediction of relatedness in stack overflow: Deep learning vs. SVM: A reproducibility study
by: XU, Bowen, et al.
Published: (2018)

Determination of Torsade-causing potential of drug candidates using one-class classification and ensemble modelling approaches
by: He, Y., et al.
Published: (2014)

EEG-based mental fatigue measurement using multi-class support vector machines with confidence estimate
by: Shen, K.-Q., et al.
Published: (2011)