Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams

A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 10 years, 7 months ago

Shared By: Nikunj Oza

The world-wide aviation system is one of the most complex dynamical systems ever developed and is generating data at an extremely rapid rate. Most modern ...

Sparse Solutions for Single Class SVMs: A Bi-Criterion Approach

A Publication, Nikunj Oza's Collection - 11 years, 8 months ago

Shared By: Nikunj Oza

In this paper we propose an innovative learning algorithm - a variation of One-class  Support Vector Machines (SVMs) learning algorithm to produce sparser solutions ...

Pseudo-Label Generation for Multi-Label Text Classification

A Publication, Nikunj Oza's Collection - 11 years, 8 months ago

Shared By: Nikunj Oza

With the advent and expansion of social networking, the amount of generated text data has seen a sharp increase. In order to handle such a ...

Rotor health monitoring combining spin tests and data-driven anomaly detection methods

A Publication, Nikunj Oza's Collection - 11 years, 8 months ago

Shared By: Nikunj Oza

Health monitoring is highly dependent on sensor systems that are capable of performing in various engine environmental conditions and able to transmit a signal upon ...

Anomaly Detection in a Fleet of Systems

A Publication, Nikunj Oza's Collection - 11 years, 8 months ago

Shared By: Nikunj Oza

A fleet is a group of systems (e.g., cars, aircraft) that are designed and manufactured the same way and are intended to be used the ...

Classification

A Publication, Nikunj Oza's Collection - 11 years, 8 months ago

Shared By: Nikunj Oza

A supervised learning task involves constructing a mapping from an input data space (normally described by several features) to an output space. A set of ...

nu-Anomica: A Fast Support Vector Based Anomaly Detection Technique

A Publication, Nikunj Oza's Collection - 11 years, 8 months ago

Shared By: Nikunj Oza

In this paper we propose $\nu$-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared ...

Key Real-World Applications of Classifier Ensembles

A Publication, Nikunj Oza's Collection - 12 years, 9 months ago

Shared By: Nikunj Oza

Broad classes of statistical classification algorithms have beendeveloped and applied successfully to a wide range of real worlddomains. In general, ensuring that the particular classificationalgorithm ...

Machine Learning for Earth Observation Flight Planning Optimization

A Publication, Nikunj Oza's Collection - 12 years, 9 months ago

Shared By: Nikunj Oza

This paper is a progress report of an effort whose goal is to demonstrate the effectiveness of automated data mining and planning for the daily ...