SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6601–6625 of 14581 papers

TitleStatusHype
Linear Classification of data with Support Vector Machines and Generalized Support Vector Machines—0
Linear classifier design under heteroscedasticity in Linear Discriminant Analysis—0
Linear Dilation-Erosion Perceptron for Binary Classification—0
Linear Dilation-Erosion Perceptron Trained Using a Convex-Concave Procedure—0
Linear Optimal Transport Embedding: Provable Wasserstein classification for certain rigid transformations and perturbations—0
Linear Spatial Pyramid Matching Using Non-convex and non-negative Sparse Coding for Image Classification—0
Linear-Time Sequence Classification using Restricted Boltzmann Machines—0
Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image—0
Line Profile Based Segmentation Algorithm for Touching Corn Kernels—0
Linguistically Motivated Question Classification—0
Linguistically Regularized LSTM for Sentiment Classification—0
Linguistically Regularized LSTMs for Sentiment Classification—0
Linguistic approach based Transfer Learning for Sentiment Classification in Hindi—0
Linguistic classification: dealing jointly with irrelevance and inconsistency—0
Linguistic Classification using Instance-Based Learning—0
Linguistic Cues to Deception and Perceived Deception in Interview Dialogues—0
Linguistic features and proficiency classification in L2 Spanish and L2Portuguese.—0
Linguistic Features of Genre and Method Variation in Translation: A Computational Perspective—0
Linguistic Markers of Influence in Informal Interactions—0
Linking Generative Adversarial Learning and Binary Classification—0
Linking ImageNet WordNet Synsets with Wikidata—0
Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification—0
Linnaeus: A highly reusable and adaptable ML based log classification pipeline—0
Lip Reading Using Convolutional Auto Encoders as Feature Extractor—0
Lipschitz Properties for Deep Convolutional Networks—0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified