Results 11  20
of
15,522
An Efficient kMeans Clustering Algorithm: Analysis and Implementation
, 2000
"... Kmeans clustering is a very popular clustering technique, which is used in numerous applications. Given a set of n data points in R d and an integer k, the problem is to determine a set of k points R d , called centers, so as to minimize the mean squared distance from each data point to its ..."
Abstract

Cited by 417 (4 self)
 Add to MetaCart
Kmeans clustering is a very popular clustering technique, which is used in numerous applications. Given a set of n data points in R d and an integer k, the problem is to determine a set of k points R d , called centers, so as to minimize the mean squared distance from each data point to its
Efficient Implementation of Weighted ENO Schemes
, 1995
"... In this paper, we further analyze, test, modify and improve the high order WENO (weighted essentially nonoscillatory) finite difference schemes of Liu, Osher and Chan [9]. It was shown by Liu et al. that WENO schemes constructed from the r th order (in L¹ norm) ENO schemes are (r +1) th order accur ..."
Abstract

Cited by 412 (38 self)
 Add to MetaCart
accurate. We propose a new way of measuring the smoothness of a numerical solution, emulating the idea of minimizing the total variation of the approximation, which results in a 5th order WENO scheme for the case r = 3, instead of the 4th order with the original smoothness measurement by Liu et al. This 5
Heterogeneous Beliefs and Routes to Chaos in a Simple Asset Pricing Model
, 1998
"... This paper investigates the dynamics in a simple present discounted value asset pricing model with heterogeneous beliefs. Agents choose from a finite set of predictors of future prices of a risky asset and revise their `beliefs' in each period in a boundedly rational way, according to a `fitnes ..."
Abstract

Cited by 385 (27 self)
 Add to MetaCart
This paper investigates the dynamics in a simple present discounted value asset pricing model with heterogeneous beliefs. Agents choose from a finite set of predictors of future prices of a risky asset and revise their `beliefs' in each period in a boundedly rational way, according to a
Concentration Of Measure And Isoperimetric Inequalities In Product Spaces
, 1995
"... The concentration of measure phenomenon in product spaces roughly states that, if a set A in a product# N of probability spaces has measure at least one half, "most" of the points of# N are "close" to A. We proceed to a systematic exploration of this phenomenon. The meaning o ..."
Abstract

Cited by 376 (4 self)
 Add to MetaCart
of the word "most" is made rigorous by isoperimetrictype inequalities that bound the measure of the exceptional sets. The meaning of the work "close" is defined in three main ways, each of them giving rise to related, but different inequalities. The inequalities are all proved through a
Approximate accelerated stochastic simulation of chemically reacting systems
 J. Chem. Phys
, 2001
"... The stochastic simulation algorithm ͑SSA͒ is an essentially exact procedure for numerically simulating the time evolution of a wellstirred chemically reacting system. Despite recent major improvements in the efficiency of the SSA, its drawback remains the great amount of computer time that is ofte ..."
Abstract

Cited by 346 (6 self)
 Add to MetaCart
The stochastic simulation algorithm ͑SSA͒ is an essentially exact procedure for numerically simulating the time evolution of a wellstirred chemically reacting system. Despite recent major improvements in the efficiency of the SSA, its drawback remains the great amount of computer time
The Pathophysiology of Mitochondrial Cell Death This copy is for your personal, noncommercial use only. clicking here.colleagues, clients, or customers by , you can order highquality copies for yourIf you wish to distribute this article to others here.f
 JULY 2004 629 DOI: 10.1126/science.1099320 , 626 (2004);305 Science
"... In the mitochondrial pathway of apoptosis, caspase activation is closely linked to mitochondrial outer membrane permeabilization (MOMP). Numerous proapoptotic signaltransducing molecules and pathological stimuli converge on mitochondria to induce MOMP. The local regulation and execution of MOMP in ..."
Abstract

Cited by 337 (2 self)
 Add to MetaCart
In the mitochondrial pathway of apoptosis, caspase activation is closely linked to mitochondrial outer membrane permeabilization (MOMP). Numerous proapoptotic signaltransducing molecules and pathological stimuli converge on mitochondria to induce MOMP. The local regulation and execution of MOMP
Matching as Nonparametric Preprocessing for Reducing Model Dependence
 in Parametric Causal Inference,” Political Analysis
, 2007
"... Although published works rarely include causal estimates from more than a few model specifications, authors usually choose the presented estimates from numerous trial runs readers never see. Given the often large variation in estimates across choices of control variables, functional forms, and other ..."
Abstract

Cited by 334 (46 self)
 Add to MetaCart
Although published works rarely include causal estimates from more than a few model specifications, authors usually choose the presented estimates from numerous trial runs readers never see. Given the often large variation in estimates across choices of control variables, functional forms
Why functional programming matters
 The Computer Journal
, 1989
"... As software becomes more and more complex, it is more and more important to structure it well. Wellstructured software is easy to write, easy to debug, and provides a collection of modules that can be reused to reduce future programming costs. Conventional languages place conceptual limits on the ..."
Abstract

Cited by 328 (3 self)
 Add to MetaCart
on the way problems can be modularised. Functional languages push those limits back. In this paper weshow that two features of functional languages in particular, higherorder functions and lazy evaluation, can contribute greatly to modularity. As examples, we manipulate lists and trees, program several
Evolutionary Algorithms for Constrained Parameter Optimization Problems
 Evolutionary Computation
, 1996
"... Evolutionary computation techniques have received a lot of attention regarding their potential as optimization techniques for complex numerical functions. However, they have not produced a significant breakthrough in the area of nonlinear programming due to the fact that they have not addressed the ..."
Abstract

Cited by 315 (18 self)
 Add to MetaCart
the issue of constraints in a systematic way. Only recently several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; however, these methods have several drawbacks and the experimental results on many test cases have been
A new meshless local PetrovGalerkin (MLPG) approach in computational mechanics
 Comput. Mech
, 1998
"... Abstract: A comparison study of the efficiency and accuracy of a variety of meshless trial and test functions is presented in this paper, based on the general concept of the meshless local PetrovGalerkin (MLPG) method. 5 types of trial functions, and 6 types of test functions are explored. Differe ..."
Abstract

Cited by 312 (54 self)
 Add to MetaCart
methods require background cells. Because complicated shape functions for the trial function are inevitable at the present stage, in order to develop a fast and robust meshless method, we explore ways to avoid the use of a domain integral in the weakform, by choosing an appropriate test function
Results 11  20
of
15,522