Now showing items 1-4 of 4
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 ...
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 ...