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1. Socially guided machine learning

Thomaz, Andrea Lockerd,

Social interaction will be key to enabling robots and machines in general to learn new tasks from ordinary people (not experts in robotics or machine learning). Everyday people who need to teach their...

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2. 6.867 Machine Learning, Fall 2002, Machine Learning

Jaakkola, Tommi S. (Tommi Sakari),

Principles, techniques, and algorithms in machine learning from the point of view of statistical inference; representation, generalization, and model selection; and methods such as linear/additive mod...

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3. Detecting worm mutations using machine learning

Sharma, Oliver,

Worms are malicious programs that spread over the Internet without human intervention. Since worms generally spread faster than humans can respond, the only viable defence is to automate their detecti...

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4. Automated Prediction of CMEs Using Machine Learning of CME¿¿¿Flare Associations

Qahwaji, Rami S. R., Colak, Tufan, Al-Omari, M., Ipson, Stanley S.,

Machine-learning algorithms are applied to explore the relation between significant flares and their associated CMEs. The NGDC flares catalogue and the SOHO/LASCO CME catalogue are processed to associ...

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5. Short tandem repeat (STR) profile authentication via machine learning techniques, Short tandem repeat profile authentication via machine learning techniques, STR profile authentication via machine learning techniques

Shcherbina, Anna,

Short tandem repeat (STR) DNA profiles have multiple uses in forensic analysis, kinship identification, and human biometrics. However, as biotechnology progresses, there is a growing concern that STR ...

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6. A REVIEW OF STUDIES ON MACHINE LEARNING TECHNIQUES

Yogesh Singh, Pradeep Kumar Bhatia, Omprakash Sangwan,

This paper provides an extensive review of studies related to expert estimation of software development using Machine-Learning Techniques (MLT). Machine learning in this new era, is demonstrating the ...

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7. Brief review of regression‐based and machine learning methods in genetic epidemiology: the Genetic Analysis Workshop 17 experience

Ziegler, Andreas, MacCluer, Jean W., Almasy, Laura,

Genetics Analysis Workshop 17 provided common and rare genetic variants from exome sequencing data and simulated binary and quantitative traits in 200 replicates. We provide a brief review of the mach...

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8. Fast machine learning algorithms for large data

Choudhury, A.,

Traditional machine learning has been largely concerned with developing techniques for small or modestly sized datasets. These techniques fail to scale up well for large data problems, a situation bec...

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9. A Novel Ensemble Machine Learning for Robust Microarray Data Classification.

Peng, Yonghong,

Microarray data analysis and classification has demonstrated convincingly that it provides an effective methodology for the effective diagnosis of diseases and cancers. Although much research has been...

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10. Engineering System Design for Automated Space Weather Forecast. Designing Automatic Software Systems for the Large-Scale Analysis of Solar Data, Knowledge Extraction and the Prediction of Solar Activities Using Machine Learning Techniques.

Alomari, Mohammad Hani,

Coronal Mass Ejections (CMEs) and solar flares are energetic events taking place at the Sun that can affect the space weather or the near-Earth environment by the release of vast quantities of electro...

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