← Core Methods
Machine Learning › Core Methods ›

Support Vector Machine

254 directly classified papers

Papers per year

Papers

A Short Answer Grading System in Chinese by Support Vector Approach ACL 2018
Overlapping Clustering Models, and One (class) SVM to Bind Them All NIPS 2018
But How Does It Work in Theory? Linear SVM with Random Features NIPS 2018
Multi-Frame Quality Enhancement for Compressed Video CVPR 2018
Measuring Beginner Friendliness of Japanese Web Pages explaining Academic Concepts by Integrating Neural Image Feature and Text Features ACL 2018
Learning Confidence Sets using Support Vector Machines NIPS 2018
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction ICML 2017
Polyhedral Conic Classifiers for Visual Object Detection and Classification CVPR 2017
Designing Illuminant Spectral Power Distributions for Surface Classification CVPR 2017
Kernel Square-Loss Exemplar Machines for Image Retrieval CVPR 2017
AccGenSVM: Selectively Transferring from Previous Hypotheses IJCAI 2017
Fast SVM Trained by Divide-and-Conquer Anchors IJCAI 2017
COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines SEMEVAL 2017
Multi-Class Support Vector Machine via Maximizing Multi-Class Margins IJCAI 2017
Approximation Vector Machines for Large-scale Online Learning JMLR 2017
Angle-based Multicategory Distance-weighted SVM JMLR 2017
Asymptotic behavior of Support Vector Machine for spiked population model JMLR 2017
Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters JMLR 2017
TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news SEMEVAL 2017
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search NIPS 2017
SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of Features SEMEVAL 2017
Nature of Contrast and Coarticulation: Evidence from Mizo Tones and Assamese Vowel Harmony INTERSPEECH 2017
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results INTERSPEECH 2017
Detection of Mispronunciations and Disfluencies in Children Reading Aloud INTERSPEECH 2017
SINAI at SemEval-2017 Task 4: User based classification SEMEVAL 2017