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General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 6701–6750 of 14581 papers

TitleStatusHype
Efficient Distributed Learning with Sparsity—0
Efficient Divide-And-Conquer Classification Based on Feature-Space Decomposition—0
Efficient Egocentric Visual Perception Combining Eye-tracking, a Software Retina and Deep Learning—0
Efficient estimation of the ANOVA mean dimension, with an application to neural net classification—0
Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Classification—0
Efficient Feature Extraction, Encoding and Classification for Action Recognition—0
Efficient Fusion of Sparse and Complementary Convolutions—0
Efficient Image Evidence Analysis of CNN Classification Results—0
Efficient Image Set Classification using Linear Regression based Image Reconstruction—0
Efficient Image-Space Extraction and Representation of 3D Surface Topography—0
Efficient Large-Scale Domain Classification with Personalized Attention—0
Efficient Large-Scale Multi-Modal Classification—0
Efficient Large-Scale Neural Domain Classification with Personalized Attention—0
Efficient Large-Scale Structured Learning—0
Efficient Large Scale Video Classification—0
Efficient Learning for Undirected Topic Models—0
Efficient learning of neighbor representations for boundary trees and forests—0
Efficient logic architecture in training gradient boosting decision tree for high-performance and edge computing—0
Efficiently Bounding Optimal Solutions after Small Data Modification in Large-Scale Empirical Risk Minimization—0
Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework—0
Efficient Machine Learning for Big Data: A Review—0
Efficient Monte Carlo Methods for Multi-Dimensional Learning with Classifier Chains—0
Efficient Multi-Domain Dictionary Learning with GANs—0
Efficient multivariate sequence classification—0
Efficient Neural Network Approaches for Leather Defect Classification—0
Efficient No-Reference Quality Assessment and Classification Model for Contrast Distorted Images—0
Efficient Optimization for Average Precision SVM—0
Efficient Optimization for Discriminative Latent Class Models—0
Efficient Prealignment of CT Scans for Registration through a Bodypart Regressor—0
Efficient Privacy Preserving Edge Computing Framework for Image Classification—0
Efficient Progressive Neural Architecture Search—0
Efficient Sampling for Gaussian Process Inference using Control Variables—0
Efficient Scale-Permuted Backbone with Learned Resource Distribution—0
Efficient Social Network Multilingual Classification using Character, POS n-grams and Dynamic Normalization—0
Efficient Stochastic Inference of Bitwise Deep Neural Networks—0
Efficient strategies for hierarchical text classification: External knowledge and auxiliary tasks—0
Efficient Structured Parsing of Facades Using Dynamic Programming—0
Efficient Structured Surrogate Loss and Regularization in Structured Prediction—0
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold—0
Efficient Text Classification Using Tree-structured Multi-linear Principal Component Analysis—0
Efficient Traffic-Sign Recognition with Scale-aware CNN—0
Efficient Twitter Sentiment Classification using Subjective Distant Supervision—0
Efficient Two-Stream Motion and Appearance 3D CNNs for Video Classification—0
EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams -- With Application to Power Quality Disturbance Detection and Classification—0
Ego-based Entropy Measures for Structural Representations—0
Ego-Lane Analysis System (ELAS): Dataset and Algorithms—0
Egyptian Dialect Stopword List Generation from Social Network Data—0
EICA at SemEval-2017 Task 4: A Simple Convolutional Neural Network for Topic-based Sentiment Classification—0
Eigen Values Features for the Classification of Brain Signals corresponding to 2D and 3D Educational Contents—0
EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets—0
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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