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  • Characterizing Variability and Multi-Resolution Predictions

    A Publication, Ashok Srivastava's Collection - 6 years, 9 months ago

    Shared By: Ashok Srivastava

    In previous papers, we introduced the idea of a Virtual Sensor, which is a mathematical model trained to learn the potentially nonlinear relationships between spectra ...

    meatball
  • Ensemble Approach to Building Mercer Kernels

    A Publication, Ashok Srivastava's Collection - 6 years, 9 months ago

    Shared By: Ashok Srivastava

    This paper presents a new methodology for automatic knowledge driven data mining based on the theory of Mercer Kernels, which are highly nonlinear symmetric positive ...

    meatball
  • Stable and Efficient Gaussian Process Calculations

    A Publication, Ashok Srivastava's Collection - 6 years, 9 months ago

    Shared By: Ashok Srivastava

    The use of Gaussian processes can be an effective approach to prediction in a supervised learning environment. For large data sets, the standard Gaussian process ...

    meatball
  • Comparison of Unsupervised Anomaly Detection Methods

    A Publication, Ashok Srivastava's Collection - 6 years, 9 months ago

    Shared By: Ashok Srivastava

    Several different unsupervised anomaly detection algorithms have been applied to Space Shuttle Main Engine (SSME) data to serve the purpose of developing a comprehensive suite ...

    meatball
  • Comparative Analysis of Data-Driven Anomaly Detection Methods

    A Publication, Ashok Srivastava's Collection - 6 years, 9 months ago

    Shared By: Ashok Srivastava

    This paper provides a review of three different advanced machine learning algorithms for anomaly detection in continuous data streams from a ground-test firing of a ...

    meatball
  • Novel Methods for Predicting Photometric Redshifts

    A Publication, Ashok Srivastava's Collection - 6 years, 9 months ago

    Shared By: Ashok Srivastava

    We calculate photometric redshifts from the Sloan Digital Sky Survey Main Galaxy Sample, The Galaxy Evolution Explorer All Sky Survey, and The Two Micron All ...

    meatball
  • Algorithms for Spectral Decomposition with Applications

    A Publication, Ashok Srivastava's Collection - 6 years, 9 months ago

    Shared By: Ashok Srivastava

    The analysis of spectral signals for features that represent physical phenomenon is ubiquitous in the science and engineering communities. There are two main approaches that ...

    meatball
  • Detection and Prognostics on Low Dimensional Systems

    A Publication, Ashok Srivastava's Collection - 6 years, 9 months ago

    Shared By: Ashok Srivastava

    This paper describes the application of known and novel prognostic algorithms on systems that can be described by low dimensional, potentially nonlinear dynamics. The methods ...

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  • Anomaly Detection and Diagnosis Algorithms for Discrete Symbols

    A Publication, Ashok Srivastava's Collection - 6 years, 9 months ago

    Shared By: Ashok Srivastava

    We present a set of novel algorithms which we call sequenceMiner that detect and characterize anomalies in large sets of high-dimensional symbol sequences that arise ...

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  • Discovering System Health Anomalies using Data Mining Techniques

    A Publication, Ashok Srivastava's Collection - 6 years, 9 months ago

    Shared By: Ashok Srivastava

    We discuss a statistical framework that underlies envelope detection schemes as well as dynamical models based on Hidden Markov Models (HMM) that can encompass both ...

    meatball
  • Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and Aviation Safety Case Study

    A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 10 years, 1 month ago

    Shared By: Bryan Matthews

    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 ...

    meatball
  • Multiple Kernel Learning based Heterogeneous Algorithm

    A Publication, Santanu Das's Collection - 10 years ago

    Shared By: Santanu Das

    Paper on this topic has been submitted to KDD 2010.

    meatball
  • Methods for Probabilistic Fault Diagnosis: An EPS Case Study

    A Publication, Ole Mengshoel's Collection - 10 years ago

    Shared By: Ole Mengshoel

    Health management systems that more accurately and quickly diagnose faults that may occur in different technical systems on-board a vehicle will play a key role ...

  • Probabilistic Model-Based Diagnosis for Electrical Power Systems

    A Publication, Ole Mengshoel's Collection - 10 years ago

    Shared By: Ole Mengshoel

    We present in this article a case study of the probabilistic approach to model-based diagnosis. Here, the diagnosed system is a real-world electrical power system, ...

    meatball
  • Developing Large-Scale Bayesian Networks by Composition

    A Publication, Ole Mengshoel's Collection - 10 years ago

    Shared By: Ole Mengshoel

    In this paper, we investigate the use of Bayesian networks to construct large-scale diagnostic systems. In particular, we consider the development of large-scale Bayesian networks ...