Veloso et al., 2011 - Google Patents
Calibrated lazy associative classificationVeloso et al., 2011
View PDF- Document ID
- 881898242276185632
- Author
- Veloso A
- Meira Jr W
- Gonçalves M
- Almeida H
- Zaki M
- Publication year
- Publication venue
- Information Sciences
External Links
Snippet
Classification is a popular machine learning task. Given an example x and a class c, a classifier usually works by estimating the probability of x being member of c (ie, membership probability). Well calibrated classifiers are those able to provide accurate estimates of class …
- 238000010801 machine learning 0 abstract description 10
Classifications
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
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- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
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- G06F17/30587—Details of specialised database models
- G06F17/30595—Relational databases
- G06F17/30598—Clustering or classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6279—Classification techniques relating to the number of classes
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- G—PHYSICS
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- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6262—Validation, performance evaluation or active pattern learning techniques
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- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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- G—PHYSICS
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06N99/00—Subject matter not provided for in other groups of this subclass
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- G06Q10/00—Administration; Management
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