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CORR
2011
Springer
178views Education» more  CORR 2011»
13 years 3 months ago
Online Learning: Stochastic and Constrained Adversaries
Learning theory has largely focused on two main learning scenarios. The first is the classical statistical setting where instances are drawn i.i.d. from a fixed distribution and...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
CORR
2011
Springer
212views Education» more  CORR 2011»
13 years 3 months ago
Decision Support Tools for Cloud Migration in the Enterprise
— This paper describes two tools that aim to support decision making during the migration of IT systems to the cloud. The first is a modeling tool that produces cost estimates of...
Ali Khajeh-Hosseini, Ian Sommerville, Jurgen Bogae...
CORR
2011
Springer
157views Education» more  CORR 2011»
13 years 3 months ago
Model based system engineering approach of a lightweight embedded TCP/IP
M. Z. Rashed, Ahmed E. Hassan, Ahmed I. Sharaf
CORR
2011
Springer
98views Education» more  CORR 2011»
13 years 3 months ago
Web services synchronization health care application
Hela Limam, Jalel Akaichi
CORR
2011
Springer
147views Education» more  CORR 2011»
13 years 3 months ago
A Machine Learning Based Analytical Framework for Semantic Annotation Requirements
Hamed Hassanzadeh, Mohammad Reza Keyvanpour
CORR
2011
Springer
165views Education» more  CORR 2011»
13 years 3 months ago
Data Base Mappings and Theory of Sketches
In this paper we will present the two basic operations for database schemas used in database mapping systems (separation and Data Federation), and we will explain why the functoria...
Zoran Majkic
CORR
2011
Springer
214views Education» more  CORR 2011»
13 years 3 months ago
Convex Approaches to Model Wavelet Sparsity Patterns
Statistical dependencies among wavelet coefficients are commonly represented by graphical models such as hidden Markov trees (HMTs). However, in linear inverse problems such as d...
Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright,...
CORR
2011
Springer
164views Education» more  CORR 2011»
13 years 3 months ago
Noise Folding in Compressed Sensing
The literature on compressed sensing has focused almost entirely on settings where the signal is noiseless and the measurements are contaminated by noise. In practice, however, th...
Ery Arias-Castro, Yonina C. Eldar