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Federal
An Integrated Approach to Battery Health Monitoring using Bayesian Regression, Classification and State Estimation
National Aeronautics and Space Administration —
The application of the Bayesian theory of managing uncertainty and complexity to regression and classification in the form of Relevance Vector Machine (RVM), and to... -
Federal
Health Monitoring and Prognostics for Computer Servers
National Aeronautics and Space Administration —
Abstract Prognostics solutions for mission critical systems require a comprehensive methodology for proactively detecting and isolating failures,... -
Federal
MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING
National Aeronautics and Space Administration —
MULTI-LABEL ASRS DATASET CLASSIFICATION USING SEMI-SUPERVISED SUBSPACE CLUSTERING MOHAMMAD SALIM AHMED, LATIFUR KHAN, NIKUNJ OZA, AND MANDAVA RAJESWARI Abstract.... -
Federal
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
National Aeronautics and Space Administration —
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases,... -
Federal
A Bayesian Framework for Remaining Useful Life Estimation
National Aeronautics and Space Administration —
The estimation of remaining useful life (RUL) of a faulty component is at the center of system prognostics and health management. It gives operators a potent tool in... -
Federal
Pseudo-Label Generation for Multi-Label Text Classification
National Aeronautics and Space Administration —
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 huge volume of text data,... -
Federal
Discriminative Mixed-Membership Models
National Aeronautics and Space Administration —
Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we... -
Federal
Friedl presentation at CIDU
National Aeronautics and Space Administration —
The land remote sensing community has a long history of using supervised and unsupervised methods to help interpret and analyze remote sensing data sets. Until... -
Federal
Fast discriminative latent Dirichlet allocation
National Aeronautics and Space Administration —
This is the code for fast discriminative latent Dirichlet allocation, which is an algorithm for topic modeling and text classification. The related paper is at... -
Federal
Classification of Damage Signatures in Composite Plates using On
National Aeronautics and Space Administration —
Damage characterization through wave propagation and scattering is of considerable interest to many non-destructive evaluation techniques. For fiber-reinforced... -
Federal
Scalable Distributed Change Detection from Astronomy Data Streams using Local, Asynchronous Eigen Monitoring Algorithms
National Aeronautics and Space Administration —
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines... -
Federal
MULTI-TEMPORAL REMOTE SENSING IMAGE CLASSIFICATION - A MULTI-VIEW APPROACH
National Aeronautics and Space Administration —
MULTI-TEMPORAL REMOTE SENSING IMAGE CLASSIFICATION - A MULTI-VIEW APPROACH VARUN CHANDOLA AND RANGA RAJU VATSAVAI Abstract. Multispectral remote sensing... -
Federal
Classification
National Aeronautics and Space Administration —
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 training... -
Federal
AISRP Presentations
National Aeronautics and Space Administration —
AISRP Presentations from CIDU/AISRP 2009. -
Federal
IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING
National Aeronautics and Space Administration —
IMPROVING CAUSE DETECTION SYSTEMS WITH ACTIVE LEARNING ISAAC PERSING AND VINCENT NG Abstract. Active learning has been successfully applied to many natural language... -
Federal
An Efficient Local Algorithm for Distributed Multivariate Regression
National Aeronautics and Space Administration —
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing,... -
Federal
Ensemble Approach to Building Mercer Kernels
National Aeronautics and Space Administration —
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... -
Federal
A Scalable Local Algorithm for Distributed Multivariate Regression
National Aeronautics and Space Administration —
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm can be used for distributed inferencing,... -
Federal
A Model-based Avionic Prognostic Reasoner (MAPR)
National Aeronautics and Space Administration —
The Model-based Avionic Prognostic Reasoner (MAPR) presented in this paper is an innovative solution for non-intrusively monitoring the state of health (SoH) and...