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Distribution function
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#	Item
91	A General Framework for Learning an Ensemble of Decision Rules Krzysztof Dembczyński1 , Wojciech Kotłowski1 , and Roman Słowiński1,2 1 2 Add to Reading List Source URL: www.ke.tu-darmstadt.de Language: English - Date: 2009-11-06 11:55:58 Generalized functions Smooth functions Ensemble learning Gradient boosting Distribution Loss function Gradient descent Mathematical optimization Logarithm operator Dirac delta function
92	The Annals of Probability 2005, Vol. 33, No. 5, 1856–1885 DOI009117905000000215 © Institute of Mathematical Statistics, 2005 AN ALMOST SURE INVARIANCE PRINCIPLE FOR THE RANGE Add to Reading List Source URL: www.math.csi.cuny.edu Language: English - Date: 2009-05-03 17:58:54 Probability distributions Exponentials Fourier analysis Digital signal processing Dirac delta function Measure theory Exponential distribution -ring SturmLiouville theory
93	Search Engines vs Steam Engines: Technological Change, Occupation Choice and the Income Distribution Tianxi Wang and Greg C. Wright March 3, 2016 Add to Reading List Source URL: privatewww.essex.ac.uk Language: English - Date: 2016-03-15 22:54:39 Production economics Income distribution Social inequality Microeconomics Economic inequality Economic growth Kuznets curve Productivity Factors of production Profit Production function Distribution
94	PRICING OF SWING OPTIONS IN A MEAN REVERTING MODEL WITH JUMPS MATS KJAER G¨ oteborg University Abstract. We investigate the pricing of swing options in a model where the Add to Reading List Source URL: www.bbk.ac.uk Language: English - Date: 2007-03-27 13:47:19 Mathematical finance Options Probability theory Risk-neutral measure Forward contract Trinomial tree Futures contract Characteristic function Distribution HullWhite model
95	ABOUT MANUSCRIPTS FOR IJ ITA Add to Reading List Source URL: foibg.com Language: English - Date: 2015-02-02 08:47:11 Fuzzy logic Probability theory Fuzzy set Probability space Indicator function Membership function Distribution Random variable Rough set Possibility theory
96	Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions Bharath K. Sriperumbudur Department of ECE UC San Diego, La Jolla, USA Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:28 Hilbert space Fourier analysis Operator theory Probability theory Probability distributions Reproducing kernel Hilbert space Positive-definite kernel Fourier transform Normal distribution Dirac delta function Characteristic function Kernel
97	JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 118, 1–16, doi:2012JD017907, 2013 The effect of the dynamic surface bareness on dust source function, emission, and distribution Dongchul Kim,1,2,3 Mian Chin,2 Huisheng Bi Add to Reading List Source URL: acdb-ext.gsfc.nasa.gov Language: English - Date: 2013-07-08 21:13:01 Particulates Biogeography Normalized Difference Vegetation Index Remote sensing Dust Enhanced vegetation index AERONET Advanced very-high-resolution radiometer Bodl Depression Aerosol Air pollution Desert
98	IOP PUBLISHING JOURNAL OF PHYSICS: CONDENSED MATTER J. Phys.: Condens. Matter (7pp) Add to Reading List Source URL: tmw.phys.nctu.edu.tw Language: English - Date: 2004-06-07 01:23:16 Statistical mechanics Molecular modelling Liquid Viscosity Volume Structure factor Molecular dynamics Radial distribution function
99	689 Documenta Math. p-adic Add to Reading List Source URL: www.math.uiuc.edu Language: English - Date: 2016-06-23 04:52:04 Field theory Number theory Algebraic geometry Valuation Distribution Algebraic number field Representation theory Automorphic L-function Sheaf operator Symbol
100	Journal of Machine Learning Research2140 Submitted 3/09; Revised 6/10; Published 8/10 Importance Sampling for Continuous Time Bayesian Networks Yu Fan Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:14 Markov models Probability distributions Graphical models Monte Carlo methods Stochastic simulation Bayesian network Markov chain Importance sampling Gibbs sampling Exponential distribution Cumulative distribution function Variance

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