tag :: classification machine-learning

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1Class Imbalance Problem
How to deal with them
8 years ago by @bsc
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classificationmachine-learning
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1ROC Curve Bibliography (StackExchange/Stats)
http://stats.stackexchange.com/a/34208
8 years ago by @hprop
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machine-learning
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1Multi-class image classification with probability estimation
http://stackoverflow.com/questions/28303334/multi-class-image-classification-with-probability-estimation
8 years ago by @hprop
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machine-learning
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machine-learningclassificationmulticlass
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1A systematic analysis of performance measures for classification tasks - SokolovaLapalme-JIPM09.pdf
http://rali.iro.umontreal.ca/rali/sites/default/files/publis/SokolovaLapalme-JIPM09.pdf
8 years ago by @hprop
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5scikits.learn: machine learning in Python — scikits.learn v0.6.0 documentation
http://scikit-learn.sourceforge.net/
12 years ago by @muehlburger
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ai
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aiclassificationlearninglibrarymachine-learningmachinelearningopensourcepythonscipy
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3A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification
M. Herde, D. Huseljic, B. Sick, and A. Calma. IEEE Access, (2021)
2 years ago by @ies
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active-learning
classification
human-in-the-loop-learning
interactive-learning
machine-learning
imported
itegpub
isac-www
active-learningclassificationhuman-in-the-loop-learninginteractive-learningmachine-learningimporteditegpubisac-www
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1k-Nearest Neighbour Classifiers - A Tutorial
P. Cunningham, and S. Delany. ACM Computing Surveys, 54 (6): 1--25 (July 2021)
3 years ago by @analyst
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2021
acm
classification
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tutorial
2021acmclassificationmachine-learningtutorial
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1Comparative analysis of transcriptomic profile, histology, and IDH mutation for classification of gliomas
P. Tran, L. Tran, J. Nechtman, B. dos Santos, S. Purohit, K. Satter, B. Dun, R. Kolhe, S. Sharma, R. Bollag and 1 other author(s). Scientific Reports, 10 (1): 20651-- (2020)
3 years ago by @marcsaric
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cancer-research
classification
fulltext
glioma
machine-learning
software
cancer-researchclassificationfulltextgliomamachine-learningsoftware
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3A snapshot of the frontiers of fairness in machine learning.
A. Chouldechova, and A. Roth. Commun. ACM, 63 (5): 82-89 (2020)
4 years ago by @mstrohm
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classification
fairness
machine-learning
classificationfairnessmachine-learning
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3Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
W. Grathwohl, K. Wang, J. Jacobsen, D. Duvenaud, M. Norouzi, and K. Swersky. (2019)cite arxiv:1912.03263.
4 years ago by @analyst
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2019
arxiv
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iclr
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2019arxivclassificationiclrmachine-learning
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2Protein sequences classification by means of feature extraction with substitution matrices.
R. Saidi, M. Maddouri, and E. Mephu Nguifo. BMC bioinformatics, 11 (1): 175+ (Apr 8, 2010)
5 years ago by @karthikraman
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classification
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classificationfeature-extractionmachine-learningprotein-sequences
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2Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms
Y. Guo, A. Graber, R. McBurney, and R. Balasubramanian. BMC Bioinformatics, 11 (1): 447+ (2010)
5 years ago by @karthikraman
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classification
dimensionality
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classificationdimensionalitymachine-learning
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2Multiclass classification of microarray data samples with a reduced number of genes
E. Tapia, L. Ornella, P. Bulacio, and L. Angelone. BMC Bioinformatics, 12 (1): 59+ (2011)
5 years ago by @karthikraman
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classification
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classificationdata-analysismachine-learningmicroarray
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1Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
I. Goodfellow, Y. Bulatov, J. Ibarz, S. Arnoud, and V. Shet. (2013)cite arxiv:1312.6082.
7 years ago by @hprop
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classification
cv
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classificationcvmachine-learningocr
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1A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma
G. Way, R. Allaway, S. Bouley, C. Fadul, Y. Sanchez, and C. Greene. BMC Genomics, 18 (1): 127-127 (February 2017)
7 years ago by @marcsaric
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NF1
classification
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NF1classificationgliomamachinelearningmachine-learning
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2Detection of text quality flaws as a one-class classification problem
M. Anderka, B. Stein, and N. Lipka. Proceedings of the 20th ACM international conference on Information and knowledge management, page 2313--2316. New York, NY, USA, ACM, (2011)
12 years ago by @muehlburger
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TOREAD
classification
detection
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wikipedia
TOREADclassificationdetectionflawmachine-learningmtone-classoutlier-detectionqualitywikipedia
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15Statistical Learning Theory
V. Vapnik. Wiley-Interscience, (1998)
13 years ago by @smolav
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in-thesis
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3Automatic Vandalism Detection in Wikipedia: Towards a Machine Learning Approach
K. Smets, B. Goethals, and B. Verdonk. Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) Workshop on Wikipedia and Artificial Intelligence: An Evolving Synergy (WikiAI08), page 43--48. AAAI Press, (2008)
13 years ago by @smolav
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bag-of-words
classification
in-thesis
machine-learning
naive-bayes
probabilistic-sequence-modeling
text-classification
wikipedia-vandalism
bag-of-wordsclassificationin-thesismachine-learningnaive-bayesprobabilistic-sequence-modelingtext-classificationwikipedia-vandalism
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2A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification.
A. Statnikov, L. Wang, and C. Aliferis. BMC Bioinformatics, (2008)
13 years ago by @smolav
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cancer
classification
gene
machine-learning
micro-array
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cancerclassificationgenemachine-learningmicro-arrayrandom-forestsvm
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2The Class Imbalance Problem: A Systematic Study.
N. Japkowicz, and S. Stephen. Intelligent Data Analysis, 6 (5): 429-449 (Feb 25, 2002)
14 years ago by @smolav
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in-mola10a
in-thesis
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1Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Proceedings
A. Jorge, L. Torgo, P. Brazdil, R. Camacho, and J. Gama (Eds.) volume 3721 of Lecture Notes in Computer Science, Springer, (2005)
15 years ago by @zeno
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2005
KDD
classification
data-mining
machine-learning
proceedings
2005KDDclassificationdata-miningmachine-learningproceedings
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3Combining instance-based learning and logistic regression for multilabel classification
W. Cheng, and E. Hüllermeier. Machine Learning, (2009)
15 years ago by @zeno
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2009
classification
instance-based-learning
kNN
logistic-regression
machine-learning
multi-label
weiwei
2009classificationinstance-based-learningkNNlogistic-regressionmachine-learningmulti-labelweiwei
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8On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
P. Domingos, and M. Pazzani. Machine Learning, 29 (2-3): 103--130 (1997)
15 years ago by @zeno
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1997
classification
loss
machine-learning
naive-bayes
1997classificationlossmachine-learningnaive-bayes
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3Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction
I. Cohen, F. Cozman, N. Sebe, M. Cirelo, and T. Huang. (2004)
16 years ago by @mschuber
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2004
algorithm
classification
machine-learning
reading-group
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2004algorithmclassificationmachine-learningreading-groupsemisupervised
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2Enriching the Crosslingual Link Structure of Wikipedia - A Classification-Based Approach -
P. Sorg, and P. Cimiano. Proceedings of the AAAI 2008 Workshop on Wikipedia and Artificial Intelligence (WikiAI'08), To appear, (2008)
16 years ago by @philipp
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classification
linkmining
machine-learning
wikipedia
classificationlinkminingmachine-learningwikipedia
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1Class Imbalance Problem

1ROC Curve Bibliography (StackExchange/Stats)

1Multi-class image classification with probability estimation

1A systematic analysis of performance measures for classification tasks - SokolovaLapalme-JIPM09.pdf

5scikits.learn: machine learning in Python — scikits.learn v0.6.0 documentation

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3A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification

1k-Nearest Neighbour Classifiers - A Tutorial

1Comparative analysis of transcriptomic profile, histology, and IDH mutation for classification of gliomas

3A snapshot of the frontiers of fairness in machine learning.

3Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One

2Protein sequences classification by means of feature extraction with substitution matrices.

2Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms

2Multiclass classification of microarray data samples with a reduced number of genes

1Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks

1A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma

2Detection of text quality flaws as a one-class classification problem

15Statistical Learning Theory

3Automatic Vandalism Detection in Wikipedia: Towards a Machine Learning Approach

2A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification.

2The Class Imbalance Problem: A Systematic Study.

1Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Proceedings

3Combining instance-based learning and logistic regression for multilabel classification

8On the Optimality of the Simple Bayesian Classifier under Zero-One Loss

3Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction

2Enriching the Crosslingual Link Structure of Wikipedia - A Classification-Based Approach -

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