18 datasets found for "trees"
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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 Generic Local Algorithm for Mining Data Streams in Large Distributed Systems
National Aeronautics and Space Administration —
In a large network of computers or wireless sensors, each of the components (henceforth, peers) has some data about the global state of the system. Much of the... -
Federal
Recurring Anomaly Detection System (ReADS)
National Aeronautics and Space Administration —
Overview: ReADS can analyze text reports, such as aviation reports and problem or maintenance records. ReADS uses text clustering algorithms to group loosely related... -
Federal
Using Decision Trees to Detect and Isolate Leaks in the J-2X
National Aeronautics and Space Administration —
Full title: Using Decision Trees to Detect and Isolate Simulated Leaks in the J-2X Rocket Engine Mark Schwabacher, NASA Ames Research Center Robert Aguilar, Pratt... -
Federal
Multivariate Time Series Search
National Aeronautics and Space Administration —
Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical... -
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
Fast and Flexible Multivariate Time Series Subsequence Search
National Aeronautics and Space Administration —
Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical... -
Federal
DATA MINING THE GALAXY ZOO MERGERS
National Aeronautics and Space Administration —
DATA MINING THE GALAXY ZOO MERGERS STEVEN BAEHR, ARUN VEDACHALAM, KIRK BORNE, AND DANIEL SPONSELLER Abstract. Collisions between pairs of galaxies usually end in the... -
Federal
Developing Large-Scale Bayesian Networks by Composition
National Aeronautics and Space Administration —
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... -
Federal
A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation
National Aeronautics and Space Administration —
This paper proposes a scalable, local privacy-preserving algorithm for distributed peer-to-peer (P2P) data aggregation useful for many advanced data mining/analysis... -
Federal
Making Predictions using Large Scale Gaussian Processes
National Aeronautics and Space Administration —
One of the key problems that arises in many areas is to estimate a potentially nonlinear function [tex] G(x, \theta)[/tex] given input and output samples [tex] ( X,y... -
Federal
Designing Resource-Bounded Reasoners using Bayesian Networks
National Aeronautics and Space Administration —
In this work we are concerned with the conceptual design of large-scale diagnostic and health management systems that use Bayesian networks. While they are... -
Federal
Macroscopic Models of Clique Tree Growth for Bayesian Networks
National Aeronautics and Space Administration —
In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to... -
Federal
Formal Specification and Verification of a Coordination Protocol for an Automated Air Traffic Control System
National Aeronautics and Space Administration —
We detail all of the facets of adapting classical model checking to a real aerospace system, in- cluding deriving the formal model and a set of specifications from... -
Federal
Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks
National Aeronautics and Space Administration —
This paper proposes a scalable, local privacy preserving algorithm for distributed Peer-to-Peer (P2P) data aggregation useful for many advanced data mining/analysis... -
Federal
Distributed Decision-Tree Induction in Peer-to-Peer Systems
National Aeronautics and Space Administration —
This paper offers a scalable and robust distributed algorithm for decision-tree induction in large peer-to-peer (P2P) environments. Computing a decision tree in such... -
Federal
Probabilistic Model-Based Diagnosis for Electrical Power Systems
National Aeronautics and Space Administration —
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,...
18 datasets found for "trees"