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Query classification using topic models and support vector machine

2012-07-01 · WS 2012 7 · Dieu-Thu Le, Raffaella Bernardi

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Classification General Classification Topic Models

Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

2019-06-16 · ACL 2019 7 · Zhi-Xiu Ye, Zhen-Hua Ling

This paper presents a multi-level matching and aggregation network (MLMAN) for few-shot relation classification. Previous studies on this topic adopt prototypical networks, which calculate the embedding vector of a query…

Few-Shot Relation Classification General Classification Relation Relation Classification

A novel improved fuzzy support vector machine based stock price trend forecast model

2018-01-02 · Shuheng Wang, Guohao Li, Yifan Bao

Application of fuzzy support vector machine in stock price forecast. Support vector machine is a new type of machine learning method proposed in 1990s. It can deal with classification and regression problems very success…

BIG-bench Machine Learning Prediction Stock Price Prediction

Thumbs up? Sentiment Classification using Machine Learning Techniques

2002-05-28 · Bo Pang, Lillian Lee, Shivakumar Vaithyanathan

We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative. Using movie reviews as data, we find that standard machine learning tec…

BIG-bench Machine Learning Classification General Classification Sentiment Analysis+1

Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection

2023-06-01 · Mst Shapna Akter, Hossain Shahriar, Sheikh Iqbal Ahamed, Kishor Datta Gupta 외

Quantum machine learning (QML) is an emerging field of research that leverages quantum computing to improve the classical machine learning approach to solve complex real world problems. QML has the potential to address c…

Malware Classification Quantum Machine Learning

Support Vector Machine Active Learning Algorithms with Query-by-Committee versus Closest-to-Hyperplane Selection

2018-01-24 · Michael Bloodgood

This paper investigates and evaluates support vector machine active learning algorithms for use with imbalanced datasets, which commonly arise in many applications such as information extraction applications. Algorithms …

Active Learning General Classification Relation Extraction text-classification+1