Microsoft PowerPoint - [Lecture 2] Sparse and Low-Rank Representation with Applications to Visual Content Analysis.pptx

Source URL: www.acml2014.jvn.edu.vn

• Numerical analysis
• Regression analysis
• Least squares
• Convex optimization
• Sparse approximation
• Mathematical optimization
• Operations research
• Mathematical analysis

Midterm Exam, Econ 210A, FallElmer Kink’s utility function is min{x1 , 2x2 }. Draw a few indifference curves for Elmer. Find each of the following for Elmer: • His Marshallian demand function for each good.

Source URL: econ.ucsb.edu

• Concave function
• Convex function
• Quasiconvex function
• Utility
• Hessian matrix
• Expected utility hypothesis
• Insurance
• Dracula
• Logarithmically concave function
• Mathematical analysis
• Mathematical optimization
• Convex analysis

Name Final Exam, Economics 210A, December 2012 There are 8 questions. Answer as many as you can... Good luck! 1) Let S and T be convex sets in Euclidean n space. Let S + T be the set {x|x = s + t for some s ∈ S and so

Source URL: econ.ucsb.edu

• Operator theory
• Microeconomics
• Economics
• Utility
• Mathematical analysis
• Indifference curve
• Consumer choice
• Consumer theory
• Marginal rate of substitution
• Mathematical optimization

DUALITY IN DYNAMIC DISCRETE CHOICE MODELS KHAI X. CHIONG§ , ALFRED GALICHON† , AND MATT SHUM♣ Abstract. Using results from convex analysis, we investigate a novel approach to identification and estimation of discret

Source URL: www.qeconomics.org

• Convex analysis
• Transforms
• Operations research
• Convex optimization
• Statistical models
• Discrete choice
• Expected value
• Conditioning
• Convex conjugate
• Mathematics
• Mathematical optimization
• Mathematical analysis

Performance analysis of OFDM modulation on indoor broadband PLC channels

Source URL: jwcn.eurasipjournals.com

• Computational complexity theory
• Mathematics
• Applied mathematics
• Ordinary differential equations
• Mathematical analysis
• Optimal control
• Mathematical optimization
• Operations research
• Convex optimization
• Linear programming

Combining Multi-class SVMs with Linear Ensemble Methods that Estimate the Class Posterior Probabilities Yann Guermeur LORIA-CNRS Campus Scientique, BP 239

Source URL: www.loria.fr

• Statistics
• Statistical classification
• Functions and mappings
• Support vector machine
• Convex optimization
• Function
• Convex function
• Locally convex topological vector space
• Least squares support vector machine
• Convex analysis
• Mathematical analysis
• Mathematics

Domain Adaptation in Regression Corinna Cortes1 and Mehryar Mohri2,1 1 2

Source URL: www.cs.nyu.edu

• Functions and mappings
• Convex analysis
• Convex optimization
• Mathematical optimization
• Function
• Hilbert space
• Mathematics
• Mathematical analysis
• Operator theory

Midterm Exam, Econ 210A, FallElmer Kink’s utility function is min{x1 , 2x2 }. Draw a few indifference curves for Elmer. These are L-shaped, with the corners lying on the line x1 = 2x2 . Find each of the follow

Source URL: econ.ucsb.edu

• Concave function
• Convex function
• Hessian matrix
• Quasiconvex function
• PROPT
• Logarithmically concave function
• Mathematical analysis
• Mathematical optimization
• Convex analysis

Discrete Comput Geom 6:Geometry Discrete & i

Source URL: www.cs.duke.edu

• Linear programming
• Convex optimization
• Operations research
• Computational geometry
• Randomized algorithm
• Algorithm
• Vertex enumeration problem
• Convex polytope
• Mathematics
• Geometry
• Theoretical computer science

CONVEX OPTIMIZATION FOR TENSOR DECOMPOSITION Ryota Tomioka1 1 Department of Mathematical Informatics, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, , JAPAN,

Source URL: www.me.inf.kyushu-u.ac.jp