SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 14451–14500 of 14581 papers

TitleStatusHype
Scikit-learn: Machine Learning in PythonCode0
Modeling Regular Polysemy: A Study on the Semantic Classification of Catalan Adjectives—0
Bayesian Active Learning for Classification and Preference LearningCode0
Combining One-Class Classifiers via Meta-Learning—0
Evaluation of Performance Measures for Classifiers ComparisonCode0
Agnostic Selective Classification—0
An Exact Algorithm for F-Measure Maximization—0
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample—0
Learning Anchor Planes for Classification—0
Composite Multiclass Losses—0
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition—0
Active Classification based on Value of Classifier—0
Infinite Latent SVM for Classification and Multi-task Learning—0
Portmanteau Vocabularies for Multi-Cue Image Representation—0
Sparse Bayesian Multi-Task Learning—0
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification—0
Robust Multi-Class Gaussian Process Classification—0
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning—0
Sparse Filtering—0
Multi-armed bandits on implicit metric spaces—0
Discriminative Local Sparse Representations for Robust Face Recognition—0
Face Recognition Based on SVM and 2DPCA—0
Learning Sequence Neighbourhood Metrics—0
Parsing Natural Scenes and Natural Language with Recursive Neural NetworksCode0
A Feature Selection Method for Multivariate Performance Measures—0
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach—0
Large Margin Learning of Upstream Scene Understanding Models—0
Active Instance Sampling via Matrix Partition—0
Inductive Regularized Learning of Kernel Functions—0
Active Learning Applied to Patient-Adaptive Heartbeat Classification—0
Feature Set Embedding for Incomplete Data—0
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning—0
Boosting Classifier Cascades—0
Efficient Optimization for Discriminative Latent Class Models—0
Generative Local Metric Learning for Nearest Neighbor Classification—0
Label Embedding Trees for Large Multi-Class Tasks—0
Humans Learn Using Manifolds, Reluctantly—0
Agnostic Active Learning Without Constraints—0
A Novel Kernel for Learning a Neuron Model from Spike Train Data—0
Learning to combine foveal glimpses with a third-order Boltzmann machine—0
Heavy-Tailed Process Priors for Selective Shrinkage—0
Gated Softmax Classification—0
A Reduction from Apprenticeship Learning to Classification—0
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models—0
Universal Consistency of Multi-Class Support Vector Classification—0
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification—0
Unsupervised Kernel Dimension Reduction—0
Transduction with Matrix Completion: Three Birds with One Stone—0
Multivariate Dyadic Regression Trees for Sparse Learning Problems—0
Relaxed Clipping: A Global Training Method for Robust Regression and Classification—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
1XBNETAccuracy100—Unverified
2MONT3Accuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified