Now showing items 41-50 of 62
Robust clustering algorithms
(Georgia Institute of Technology, 2011-04-05)
One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across any different fields ranging from computational biology to social sciences to computer ...
Task transparency in learning by demonstration : gaze, pointing, and dialog
(Georgia Institute of Technology, 2010-07-07)
This body of work explores an emerging aspect of human-robot interaction, transparency. Socially guided machine learning has proven that highly immersive robotic behaviors have yielded better results than lesser interactive ...
Domain knowledge, uncertainty, and parameter constraints
(Georgia Institute of Technology, 2010-08-24)
Learning an integrated hybrid image retrieval system
(Georgia Institute of Technology, 2012-01-06)
Current Web image search engines, such as Google or Bing Images, adopt a hybrid search approach in which a text-based query (e.g. "apple") is used to retrieve a set of relevant images, which are then refined by the user ...
Scaling solutions to Markov Decision Problems
(Georgia Institute of Technology, 2011-11-14)
The Markov Decision Problem (MDP) is a widely applied mathematical model useful for describing a wide array of real world decision problems ranging from navigation to scheduling to robotics. Existing methods for solving ...
Stochastic m-estimators: controlling accuracy-cost tradeoffs in machine learning
(Georgia Institute of Technology, 2011-11-15)
m-Estimation represents a broad class of estimators, including least-squares and maximum likelihood, and is a widely used tool for statistical inference. Its successful application however, often requires negotiating ...
New support vector machine formulations and algorithms with application to biomedical data analysis
(Georgia Institute of Technology, 2011-06-13)
The Support Vector Machine (SVM) classifier seeks to find the separating hyperplane wx=r that maximizes the margin distance 1/||w||2^2. It can be formalized as an optimization problem that minimizes the hinge loss Ʃ[subscript ...
Dynamic monitoring, modeling and management of performance and resources for applications in cloud
(Georgia Institute of Technology, 2012-11-06)
Emerging trends in Cloud computing bring numerous benefits, such as higher performance, fast and flexible provisioning of applications and capacities, lower infrastructure costs, and almost unlimited scalability. However, ...
Interest management scheme and prediction model in intelligent transportation systems
(Georgia Institute of Technology, 2012-10-12)
This thesis focuses on two important problems related to DDDAS: interest management (data distribution) and prediction models. In order to reduce communication overhead, we propose a new interest management mechanism for ...
Optimal stochastic and distributed algorithms for machine learning
(Georgia Institute of Technology, 2013-07-08)
Stochastic and data-distributed optimization algorithms have received lots of attention from the machine learning community due to the tremendous demand from the large-scale learning and the big-data related optimization. ...