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searching for Multiclass classification 13 found (36 total)

alternate case: multiclass classification

Accuracy and precision (2,996 words) [view diff] exact match in snippet view article find links to article

information retrieval (see below). When computing accuracy in multiclass classification, accuracy is simply the fraction of correct classifications: Accuracy

Activation function (1,960 words) [view diff] exact match in snippet view article find links to article

multiclass classification networks. These activations perform aggregation over the inputs, such as taking the mean, minimum or maximum. In multiclass

Random forest (6,483 words) [view diff] exact match in snippet view article find links to article

S2CID 233550030. Prinzie, A.; Van den Poel, D. (2008). "Random Forests for multiclass classification: Random MultiNomial Logit". Expert Systems with Applications.

Preference learning (1,093 words) [view diff] exact match in snippet view article find links to article

3–8. ISBN 978-3-642-14124-9. "Constraint classification for multiclass classification and ranking" (PDF). NeurIPS. 2002. Fürnkranz, Johannes; Hüllermeier

Genetic programming (3,313 words) [view diff] exact match in snippet view article find links to article

(1 February 2019). "Multidimensional genetic programming for multiclass classification". Swarm and Evolutionary Computation. 44: 260–272. doi:10.1016/j

Amos Storkey (613 words) [view diff] case mismatch in snippet view article find links to article

p240 Leveraging Different Learning Rules in Hopfield Nets for Multiclass Classification saiconference.com Storkey, Amos. "Increasing the capacity of a

Gaussian process (5,929 words) [view diff] exact match in snippet view article find links to article

variable Gaussian process model with Pitman–Yor process priors for multiclass classification". Neurocomputing. 120: 482–489. doi:10.1016/j.neucom.2013.04.029

Naive Bayes classifier (7,137 words) [view diff] exact match in snippet view article find links to article

by logistic regression classifiers. Proof Consider a generic multiclass classification problem, with possible classes Y ∈ { 1 , . . . , n } {\displaystyle

Dirichlet process (4,861 words) [view diff] case mismatch in snippet view article find links to article

Variable Gaussian Process Model with Pitman-Yor Process Priors for Multiclass Classification," Neurocomputing, vol. 120, pp. 482–489, Nov. 2013. doi:10.1016/j

Extreme learning machine (3,643 words) [view diff] case mismatch in snippet view article find links to article

Rui Zhang (2012). "Extreme Learning Machine for Regression and Multiclass Classification" (PDF). IEEE Transactions on Systems, Man, and Cybernetics - Part

DNA annotation (7,339 words) [view diff] exact match in snippet view article find links to article

convolutional neural network (CNN), have also been employed. Binary or multiclass classification methods for functional annotation generally produce less accurate

Machine learning in bioinformatics (8,279 words) [view diff] no match in snippet view article find links to article

appealing because they naturally handle both regression and (multiclass) classification, are relatively fast to train and to predict, depend only on one

Mixture of experts (5,519 words) [view diff] exact match in snippet view article find links to article

(1999-11-01). "Improved learning algorithms for mixture of experts in multiclass classification". Neural Networks. 12 (9): 1229–1252. doi:10.1016/S0893-6080(99)00043-X