tag :: induction learning

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1BLOOD TUMOR PREDICTION USING DATA MINING TECHNIQUES
A. El-Halees, and A. Shurrab. BLOOD TUMOR PREDICTION USING DATA MINING TECHNIQUES, (2017)
2 years ago by @jeffrenna
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Association
Blood
Hematology
Rule
deep
diseases
induction
learning
rules
tumor
AssociationBloodHematologyRuledeepdiseasesinductionlearningrulestumor
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2Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms
P. Dupont, F. Denis, and Y. Esposito. Pattern Recognition, 38 (9): 1349-1371 (2005)Grammatical Inference.
3 years ago by @yish
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Bayesian
Grammar
HMM
Hidden
Induction
Markov
PAC
Probabilistic
algorithms
automata
induction
learning
models
topology
BayesianGrammarHMMHiddenInductionMarkovPACProbabilisticalgorithmsautomatainductionlearningmodelstopology
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2Abduction and Induction: Essays on their Relation and Integration
P. Flach, and A. Kakas (Eds.) Springer, Dordrecht, (2000)
3 years ago by @tomhanika
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AI
abduction
book
induction
learning
logic
AIabductionbookinductionlearninglogic
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1Approaching Rules Induction CN2 Algorithm in Categorizing of Biodiversity
S. Sett. International Journal of Trend in Scientific Research and Development, 3 (4): 1581-1584 (June 2019)
5 years ago by @ijtsrd
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Algorithm
Architecture
Biodiversity
CN2
Computer
Induction
Learning
Machine
Rule
AlgorithmArchitectureBiodiversityCN2ComputerInductionLearningMachineRule
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1BLOOD TUMOR PREDICTION USING DATA MINING TECHNIQUES
A. Alaa M. El-Halees. Health Informatics - An International Journal (HIIJ), 6 (2): 23-30 (May 2017)
6 years ago by @jeffrenna
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Association
Blood
Hematology
Rule
deep
diseases
induction
learning
rules
tumor
AssociationBloodHematologyRuledeepdiseasesinductionlearningrulestumor
(1)
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4Large-scale Taxonomy Induction Using Entity and Word Embeddings
P. Ristoski, S. Faralli, S. Ponzetto, and H. Paulheim. Proceedings of the International Conference on Web Intelligence, page 81--87. New York, NY, USA, ACM, (2017)
7 years ago by @thoni
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embeddings
induction
learning
ontology
solvatio
taxonomy
word
embeddingsinductionlearningontologysolvatiotaxonomyword
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4Large-scale taxonomy induction using entity and word embeddings.
P. Ristoski, S. Faralli, S. Ponzetto, and H. Paulheim. Proceedings of the International Conference on Web Intelligence, page 81--87. New York, NY, USA, ACM, (2017)
7 years ago by @thoni
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embeddings
induction
learning
ontology
taxonomy
word
embeddingsinductionlearningontologytaxonomyword
(0)
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9Learning Information Extraction Rules for Semi-Structured and Free Text
S. Soderland. Mach. Learn., 34 (1-3): 233--272 (February 1999)
12 years ago by @jil
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extraction
induction
information
learning
pattern
extractioninductioninformationlearningpattern
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7Adaptive information extraction from text by rule induction and generalisation
F. Ciravegna. Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2, page 1251--1256. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2001)
12 years ago by @jil
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extraction
induction
information
learning
pattern
extractioninductioninformationlearningpattern
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1How can the relationship between argumentation and proof be analysed?.
B. Pedemonte. Educational Studies in Mathematics, 66 (1): 23 - 41 (2007)
13 years ago by @yish
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Argumentation
Toulmin
abduction
education
induction
learning
mathematics
proof
ArgumentationToulminabductioneducationinductionlearningmathematicsproof
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4A Generative Constituent-Context Model for Improved Grammar Induction.
D. Klein, and C. Manning. ACL, page 128-135. (2002)
14 years ago by @jil
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ccg
dependency
grammar
induction
learning
phrase
seminar
titov
unsupervised
ccgdependencygrammarinductionlearningphraseseminartitovunsupervised
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2Improving induction decision trees with parallel genetic programming
G. Folino, C. Pizzuti, and G. Spezzano. Proceedings 10th Euromicro Workshop on Parallel, Distributed and Network-based Processing, page 181--187. Canary Islands, IEEE, (9-11 January 2002)
17 years ago by @brazovayeye
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J-measure,
UCI
algorithms,
by
data
decision
example,
fitness
function,
genetic
grid
induction
large
learning
machine
mining,
model,
operators,
parallel
programming
programming,
repository,
sets,
trees,
J-measure,UCIalgorithms,bydatadecisionexample,fitnessfunction,geneticgridinductionlargelearningmachinemining,model,operators,parallelprogrammingprogramming,repository,sets,trees,
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1ARGOSI: Alternate Reality Games for Orientation, Socialisation and Induction | LTiA Issue 18 | CeLT | MMU

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1BLOOD TUMOR PREDICTION USING DATA MINING TECHNIQUES

2Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms

2Abduction and Induction: Essays on their Relation and Integration

1Approaching Rules Induction CN2 Algorithm in Categorizing of Biodiversity

1BLOOD TUMOR PREDICTION USING DATA MINING TECHNIQUES

4Large-scale Taxonomy Induction Using Entity and Word Embeddings

4Large-scale taxonomy induction using entity and word embeddings.

9Learning Information Extraction Rules for Semi-Structured and Free Text

7Adaptive information extraction from text by rule induction and generalisation

1How can the relationship between argumentation and proof be analysed?.

4A Generative Constituent-Context Model for Improved Grammar Induction.

2Improving induction decision trees with parallel genetic programming

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