About: Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms

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scholarly article by Chris Thornton et al published 2013 in Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

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rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у 2013 (uk) scholarly article by Chris Thornton et al published 2013 in Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (en)
publication date	wds:Q55902576-20B20EE7-E112-4549-8F49-2752BA0C9D63
publication date	2013-01-01 00:00:00Z (xsd:dateTime)
author name string	wds:Q55902576-20E559AB-A6B3-451F-82FB-97414CCD6F49
author name string	Chris Thornton
rdfs:label	Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms (en) Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms (nl)
skos:prefLabel	Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms (en) Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms (nl)
name	Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms (en) Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms (nl)
author	wds:Q55902576-26D95FAF-6081-400B-827B-DDE88541785E wds:Q55902576-83657220-C264-474A-834D-8F1B4AF17B24 wds:Q55902576-ff345b31-4e90-9f95-acf3-4c271d6b5530
author	Holger H. Hoos Kevin Leyton-Brown Frank Hutter
title	wds:Q55902576-40EAEFB6-E0B3-46F9-9F66-DDC9FD1F9E83
title	Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms (en)
page(s)	wds:Q55902576-baeaff91-4a79-7cc6-ebd3-0a88bac159fb
page(s)	847-855
instance of	wds:Q55902576-39ABB6AB-21D5-4EB7-B116-4FC3A7543EC2
instance of	scholarly article
main subject	wds:Q55902576-6228A323-3883-4A31-BC7A-2892FE87175E
main subject	algorithm
DBLP publication ID	wds:Q55902576-DDFAED1C-C398-4DD4-9583-CC1C1DF59C21
DBLP publication ID	https://dblp.org/rec/conf/kdd/ThorntonHHL13
DBLP publication ID	conf/kdd/ThorntonHHL13
published in	wds:Q55902576-6041b232-475b-223a-f4ff-b10df1b46ebc
published in	Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
DOI	wds:Q55902576-F2586152-674B-4F3A-B2F6-84417F182D1B
DOI	http://dx.doi.org/10.1145/2487575.2487629
DOI	10.1145/2487575.2487629
ResearchGate publication ID	wds:Q55902576-7F9360C8-6DDD-4974-8001-F754282A6811
ResearchGate publication ID	230700205
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q55902576
is cites work of	MLBCD: a machine learning tool for big clinical data PredicT-ML: a tool for automating machine learning model building with big clinical data Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection Probabilistic machine learning and artificial intelligence Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods Robust optimization of SVM hyperparameters in the classification of bioactive compounds Toward cognitive pipelines of medical assistance algorithms Systematic Identification of Machine-Learning Models Aimed to Classify Critical Residues for Protein Function from Protein Structure. Algorithm Configuration in the Cloud: A Feasibility Study A deep-learning technique for phase identification in multiphase inorganic compounds using synthetic XRD powder patterns Detecting and Classifying Human Touches in a Social Robot Through Acoustic Sensing and Machine Learning Predictive Business Process Monitoring Framework with Hyperparameter Optimization Deciphering mechanisms of acquired T790M mutation after EGFR inhibitors for NSCLC by computational simulations. GAMA: Genetic Automated Machine learning Assistant RECIPE: A Grammar-Based Framework for Automatically Evolving Classification Pipelines An automated machine learning approach to predict brain age from cortical anatomical measures AClib: A Benchmark Library for Algorithm Configuration Flexible Transfer Learning Framework for Bayesian Optimisation Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization Hyperparameter Search Space Pruning – A New Component for Sequential Model-Based Hyperparameter Optimization Spiking neurons with short-term synaptic plasticity form superior generative networks Declarative data analysis
is cites work of	wds:Q31106742-409EF5BC-14E1-42E2-AC5D-C7F4CCD07CBB wds:Q38603230-0F3346E9-DF1F-43D1-8CBD-30A94E2E8B76 wds:Q92406885-139E150B-4B9C-494C-964D-AEEB01E1F3DB wds:Q28262482-966F1C64-A74F-4634-A149-CDBC82A3271D wds:Q41910127-9D1909D4-B8D0-4C44-A641-F3301116AA56 wds:Q42365486-E9CA83C8-8A84-401B-9B49-B034E69884F3 wds:Q60521623-8378ACFA-B85D-4149-9C40-D3111F783D1B wds:Q59444522-F5B13AD9-AF7E-4B7C-B730-674D209236D9 wds:Q94950353-482261F7-19BF-499D-90E2-91F61DA27000 wds:Q27902297-72247E43-6EAB-4C7F-9519-80B767973862 wds:Q60491059-7CA11423-82FB-4E0D-9A6E-0A543456959F wds:Q59866213-BD76079B-DDEC-4EA6-80AA-E5192B98E69B wds:Q45945125-989B0A54-0D7A-48A4-B88C-CCD294FBF19A wds:Q59866236-A6B9BA83-BD17-42CB-BF4B-5003217A3502 wds:Q113307969-120BEECF-598E-4184-822C-AC6EA0120C7E wds:Q30998933-EA904E77-8BE8-46A6-AC92-EA9FFD43F571 wds:Q38398643-7C8D016D-9830-4FF9-92D2-3DBC34F57F94 wds:Q90110965-9213C81F-3AC2-4E8B-B736-F1190823D940 wds:Q38651333-EBAF407A-8671-4648-8411-FEDFE6C1C77F wds:Q58012214-CBB2DCD8-A047-4155-AE27-D7F1DD1D2746 wds:Q57302140-3BBE83B0-273F-4081-AC21-D3508AE90DC6 wds:Q60521621-ED204C5A-8D24-4AC4-8237-D8F3505238B0

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