SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 14551–14581 of 14581 papers

TitleStatusHype
Efficient Sampling for Gaussian Process Inference using Control Variables—0
Large Margin Taxonomy Embedding for Document Categorization—0
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification—0
Adaptive Martingale Boosting—0
Hierarchical Fisher Kernels for Longitudinal Data—0
Extended Grassmann Kernels for Subspace-Based Learning—0
Cascaded Classification Models: Combining Models for Holistic Scene Understanding—0
Support Vector Machines with a Reject Option—0
Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization—0
Performance analysis for L\_2 kernel classification—0
Localized Sliced Inverse Regression—0
Overlaying classifiers: a practical approach for optimal ranking—0
Supervised Dictionary Learning—0
Linear Classification and Selective Sampling Under Low Noise Conditions—0
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text—0
Scalable Algorithms for String Kernels with Inexact Matching—0
Nonparametric regression and classification with joint sparsity constraints—0
Relative Margin Machines—0
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost—0
Tighter Bounds for Structured Estimation—0
On the Efficient Minimization of Classification Calibrated Surrogates—0
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes—0
Second Order Bilinear Discriminant Analysis for single trial EEG analysis—0
Support Vector Machine Classification with Indefinite Kernels—0
DIFFRAC: a discriminative and flexible framework for clustering—0
A Randomized Algorithm for Large Scale Support Vector Learning—0
GRIFT: A graphical model for inferring visual classification features from human data—0
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification—0
Support vector machine based arrhythmia classification using reduced features—0
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of ReviewsCode0
Thumbs up? Sentiment Classification using Machine Learning Techniques—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