نتایج جستجو برای: backward elimination procedure

تعداد نتایج: 689548  

2007
Ichiro Ogata

We show that one can encode proof of the Gentzen'sLK as the -terms; and the cut-elimination procedure for LK as -contraction. Precisely, we observe that Strongly Normalizable(SN) and Church-Rosser(CR) cut-elimination procedure for (intuitionistic decoration of) LKQ, as presented in Danos et al.(1993), can be considered as the call-by-value(CBV) Continuation Passing Style(CPS) computation.

2009
Marcel Jirina Marcel Jirina

Selection procedure • The initial state form n inputs only, there are no neurons. • If there are k neurons already, the probability of a selection from inputs and from neurons is given by constant probability p0 that one of the network inputs will be selected. • Otherwise an already existing neuron is selected randomly with probability proportional to fitness. • After the new neuron is formed a...

Journal: :Head & neck 2005
Raymond W M Ng William I Wei

BACKGROUND The maxillary swing procedure has been used as an anterolateral approach to expose the nasopharynx, the central skull base, and its vicinity. The reported incidence of postoperative palatal fistula has ranged from 20% to 25%. The oronasal incompetence especially associated with a large fistula has adversely affected normal speech, eating, and swallowing functions. We describe a modif...

Journal: :Numerical Algorithms 2022

Abstract An inverse central ordering of the nodes is proposed for Newton interpolation formula. This may improve stability certain distributions nodes. For equidistant nodes, an upper bound conditioning provided. close to in Lagrange formula, whose lowest. related a pivoting strategy matrix elimination procedure called Neville elimination. The results are illustrated with examples.

Journal: :Acta neurobiologiae experimentalis 1995
G Walasek M Wesierska K Zieliński

In separate groups of rats forward and backward procedures for classical defensive conditioning were superimposed on on-going bar pressing for food. The forward conditioned stimulus elicited suppression of bar presses, indicating acquisition of fear. The backward stimulus paired with identical shock elicited behaviour typical for rats in a condition of safety and caused an increase of bar press...

2004
Jer-Nan Juang

This paper presents an algorithm to identify a state-space model of a linear system using a backward-time approach. The procedure consists of three basic steps. First, the Markov parameters of a backward-time observer are computed from experimental input-output data. Second, the backward-time observer Markov parameters are decomposed to obtain the hackward-time system Markov parameters (backwar...

2010
Teck Ho Xuanming Su Teck Hua Ho

Backward induction is the most widely accepted principle for predicting behavior in dynamic games. In experiments, however, players frequently violate this principle. An alternative is a 2-parameter “dynamic level-k” model, where players choose a rule from a rule hierarchy. The rule hierarchy is iteratively defined such that the level-k rule is a best-response to the level-(k− 1) rule and the l...

2012
A. BARRERAS Ljiljana Cvetkovic

Abstract. Matrices, called ε-BD matrices, that have a bidiagonal decomposition satisfying some sign constraints are analyzed. The ε-BD matrices include all nonsingular totally positive matrices, as well as their matrices opposite in sign and their inverses. The signs of minors of ε-BD matrices are analyzed. The zero patterns of ε-BD matrices and their triangular factors are studied and applied ...

2006
Felipe Alonso Atienza José Luis Rojo-Álvarez Gustavo Camps-Valls Alfredo Rosado Muñoz Arcadio García-Alberola

Support Vector Machines (SVM) for classification are being paid special attention in a number of practical applications. When using nonlinear Mercer kernels, the mapping of the input space to a highdimensional feature space makes the input feature selection a difficult task to be addressed. In this paper, we propose the use of nonparametric bootstrap resampling technique to provide with a stati...

Journal: :Bioinformatics 2008
Roger Pique-Regi Jordi Monso-Varona Antonio Ortega Robert C. Seeger Timothy Triche Shahab Asgharzadeh

MOTIVATION Genomic instability in cancer leads to abnormal genome copy number alterations (CNA) that are associated with the development and behavior of tumors. Advances in microarray technology have allowed for greater resolution in detection of DNA copy number changes (amplifications or deletions) across the genome. However, the increase in number of measured signals and accompanying noise fr...

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