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← Core Methods
Machine Learning
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Core Methods
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Support Vector Machine
254 directly classified papers
Papers per year
2000: 1
2001: 9
2002: 5
2003: 3
2004: 5
2005: 8
2006: 20
2007: 15
2008: 9
2009: 3
2010: 7
2011: 6
2012: 16
2013: 16
2014: 10
2015: 6
2016: 12
2017: 22
2018: 16
2019: 11
2020: 6
2021: 13
2022: 14
2023: 10
2024: 7
2025: 4
Papers
RMKMavericks@DravidianLangTech 2025: Emotion Mining in Tamil and Tulu Code-Mixed Text: Challenges and Insights
NAACL 2025
Assignment of account type to proto-cuneiform economic texts with Multi-Class Support Vector Machines
NAACL 2025
Sparse SVM with Hard-Margin Loss: a Newton-Augmented Lagrangian Method in Reduced Dimensions
JMLR 2025
RMKMavericks@DravidianLangTech 2025: Tackling Abusive Tamil and Malayalam Text Targeting Women: A Linguistic Approach
NAACL 2025
On the Connection between Lp- and Risk Consistency and its Implications on Regularized Kernel Methods
JMLR 2024
Localisation of Regularised and Multiview Support Vector Machine Learning
JMLR 2024
Multi-Class Support Vector Machine with Maximizing Minimum Margin
AAAI 2024
Quartet@LT-EDI 2024: Support Vector Machine Based Approach For Homophobia/Transphobia Detection In Social Media Comments
EACL 2024
MUCS@DravidianLangTech-2024: A Grid Search Approach to Explore Sentiment Analysis in Code-mixed Tamil and Tulu
EACL 2024
Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis
EMNLP 2024
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients
AAAI 2024
Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification
JMLR 2023
A Case of Exponential Convergence Rates for SVM
AISTATS 2023
Efficient Structure-preserving Support Tensor Train Machine
JMLR 2023
USTHB at ArAIEval’23 Shared Task: Disinformation Detection System based on Linguistic Feature Concatenation
EMNLP 2023
USTHB at NADI 2023 shared task: Exploring Preprocessing and Feature Engineering Strategies for Arabic Dialect Identification
EMNLP 2023
Implicit Regularization in Over-Parameterized Support Vector Machine
NIPS 2023
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
ICML 2023
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
ICML 2023
Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples
AAAI 2023
DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 Prompt Engineering for Medical Dialogue Classification and Summarization
ACL 2023
Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese
NAACL 2022
Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models
EMNLP 2022
Partial Label Learning via Label Influence Function
ICML 2022
Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification
JMLR 2022
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