SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 5351–5375 of 14581 papers

TitleStatusHype
Supervised learning of sparse context reconstruction coefficients for data representation and classification—0
Supervised Learning with Indefinite Topological Kernels—0
Supervised Learning with Similarity Functions—0
Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification—0
Supervised LogEuclidean Metric Learning for Symmetric Positive Definite Matrices—0
Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data—0
Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data—0
Supervised Machine Learning for Signals Having RRC Shaped Pulses—0
Supervised Machine Learning Techniques for Trojan Detection with Ring Oscillator Network—0
Chinese User Service Intention Classification Based on Hybrid Neural Network—0
Supervised Quantization for Similarity Search—0
Supervised Q-walk for Learning Vector Representation of Nodes in Networks—0
Supervised Rhyme Detection with Siamese Recurrent Networks—0
Supervised Term Weighting Metrics for Sentiment Analysis in Short Text—0
Supervised Text Classification using Text Search—0
Supervised Texture Classification Using a Novel Compression-Based Similarity Measure—0
Supervising Nyström Methods via Negative Margin Support Vector Selection—0
Supervising Unsupervised Learning with Evolutionary Algorithm in Deep Neural Network—0
Support Spinor Machine—0
Support Vector Machine Active Learning Algorithms with Query-by-Committee versus Closest-to-Hyperplane Selection—0
Support Vector Machine Application for Multiphase Flow Pattern Prediction—0
Support vector machine based arrhythmia classification using reduced features—0
Support vector machine classification of dimensionally reduced structural MRI images for dementia—0
Support Vector Machine Classification with Indefinite Kernels—0
Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images—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