Results 1  10
of
2,953
A computable absolutely normal Liouville number
, 2014
"... We give an algorithm that computes an absolutely normal Liouville number. ..."
Abstract

Cited by 1 (0 self)
 Add to MetaCart
We give an algorithm that computes an absolutely normal Liouville number.
A polynomialtime algorithm for computing absolutely normal numbers
, 2013
"... We give an algorithm to compute an absolutely normal number so that the first i digits in its binary expansion are obtained in time polynomial in i; in fact, just above quadratic. The algorithm uses combinatorial tools to control divergence from normality. Speed of computation is achieved at the s ..."
Abstract

Cited by 8 (2 self)
 Add to MetaCart
We give an algorithm to compute an absolutely normal number so that the first i digits in its binary expansion are obtained in time polynomial in i; in fact, just above quadratic. The algorithm uses combinatorial tools to control divergence from normality. Speed of computation is achieved
Risk Aversion and Incentive Effects
 American Economic Review
, 2002
"... A menu of paired lottery choices is structured so that the crossover point to the highrisk lottery can be used to infer the degree of risk aversion. With "normal " laboratory payoffs of several dollars, most subjects are risk averse and few are risk loving. Scaling up all payoffs by facto ..."
Abstract

Cited by 488 (7 self)
 Add to MetaCart
A menu of paired lottery choices is structured so that the crossover point to the highrisk lottery can be used to infer the degree of risk aversion. With "normal " laboratory payoffs of several dollars, most subjects are risk averse and few are risk loving. Scaling up all payoffs
Least absolute deviations estimation for the censored regression model
 Journal of Econometrics
, 1984
"... This paper proposes an alternative to maximum likelihood estimation of the parameters of the censored regression (or censored ‘Tobit’) model. The proposed estimator is a generalization of least absolute deviations estimation for the standard linear model, and, unlike estimation methods based on the ..."
Abstract

Cited by 285 (6 self)
 Add to MetaCart
This paper proposes an alternative to maximum likelihood estimation of the parameters of the censored regression (or censored ‘Tobit’) model. The proposed estimator is a generalization of least absolute deviations estimation for the standard linear model, and, unlike estimation methods based
Autocalibration and the absolute quadric
 in Proc. IEEE Conf. Computer Vision, Pattern Recognition
, 1997
"... We describe a new method for camera autocalibration and scaled Euclidean structure and motion, from three or more views taken by a moving camera with fixed but unknown intrinsic parameters. The motion constancy of these is used to rectify an initial projective reconstruction. Euclidean scene structu ..."
Abstract

Cited by 248 (7 self)
 Add to MetaCart
structure is formulated in terms of the absolute quadric — the singular dual 3D quadric ( rank 3 matrix) giving the Euclidean dotproduct between plane normals. This is equivalent to the traditional absolute conic but simpler to use. It encodes both affine and Euclidean structure, and projects very simply
Eigentaste: A Constant Time Collaborative Filtering Algorithm
, 2000
"... Eigentaste is a collaborative filtering algorithm that uses universal queries to elicit realvalued user ratings on a common set of items and applies principal component analysis (PCA) to the resulting dense subset of the ratings matrix. PCA facilitates dimensionality reduction for offline clusterin ..."
Abstract

Cited by 378 (6 self)
 Add to MetaCart
, an online joke recommending system. Jester has collected approximately 2,500,000 ratings from 57,000 users. We use the Normalized Mean Absolute Error (NMAE) measure to compare performance of different algorithms. In the Appendix we use Uniform and Normal distribution models to derive analytic estimates
URL: www.emis.de/journals/AFA/ SOME GEOMETRIC CONSTANTS OF ABSOLUTE NORMALIZED NORMS ON R 2
"... Abstract. We consider the Banach space X = (R2, ‖ · ‖) with a normalized, absolute norm. Our aim in this paper is to calculate the modified NeumannJordan constant C ′ NJ (X) and the Zbăganu constant CZ(X). 1. Introduction and ..."
Abstract
 Add to MetaCart
Abstract. We consider the Banach space X = (R2, ‖ · ‖) with a normalized, absolute norm. Our aim in this paper is to calculate the modified NeumannJordan constant C ′ NJ (X) and the Zbăganu constant CZ(X). 1. Introduction and
Absolute normalization of the differential cross section of the pd elastic scattering at 250 MeV
"... Recently, large progress has been made in the study of the threenucleon (3N) system both experimentally and theoretically. The set of data is being significantly enriched for cross section and spin observables in the elastic nucleondeuteron scattering and the breakup process at proton energies lo ..."
Abstract
 Add to MetaCart
. Then we performed measurements by using a gaseous target system (see Fig. 1) in order to normalize cross sections taken with the solid CD2 target. The gaseous target consisted of a cylinder of 40 mm in diameter made of 200 µm thick aluminum. The absolute gas pressure was continuously monitored by a
Results 1  10
of
2,953