Super Resolution Image Reconstruction Technical Overview
PATTERN RECOGNITION AND MACHINE LEARNING CHAPTER 2: PROBABILITY DISTRIBUTIONS.
Adaptive web page content identification
Estimation of the score vector and observed information matrix in intractable models
AdPredictor - Large Scale Bayesian Click-Through Rate Prediction in Microsoft's Bing Search Engine
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Introduction Bayesian methods are becoming very important in the cognitive sciences Bayesian statistics is a framework for doing inference, in a principled.
Component Separation of Polarized Data Application to PLANCK Jonathan Aumont J-F. Macías-Pérez, M. Tristram, D. Santos 15-09-2005.
Daphne’s Approximate Group of Students. Outline Linear Regression Unregularized L2 Regularized What is a GP? Prediction with a GP Relationship to SVM.
ON THE IMPROVEMENT OF IMAGE REGISTRATION FOR HIGH ACCURACY SUPER-RESOLUTION Michalis Vrigkas, Christophoros Nikou, Lisimachos P. Kondi University of Ioannina.
Arizona State University DMML Kernel Methods – Gaussian Processes Presented by Shankar Bhargav.
Cao et al. ICML 2010 Presented by Danushka Bollegala.
