Dimensionality reduction
FAM-MDR: a flexible family-based multifactor dimensionality reduction technique to detect epistasis using related individuals.
... One non-parametric approach developed for epistasis analysis is Multifactor Dimensionality Reduction [32,33,34] (MDR). Since its conception, many methodological and applied papers have emerged that build on ...
15
Second order dimensionality reduction using minimum and maximum mutual information models.
... Conventional methods used to characterize multidimensional neural feature selectivity, such as spike-triggered covariance (STC) or maximally informative dimensions (MID), are limited to Gaussian stimuli or are only able ...
9
Dimensionality Reduction for Optimal Clustering In Data Mining
... In this paper a dimensionality reduction through kernel function was applied to leader’s algorithm. We have applied pen digits data compact and used a threshold value to fix the distance betweenthe ...
4
MDR-ER: balancing functions for adjusting the ratio in risk classes and classification errors for imbalanced cases and controls using multifactor-dimensionality reduction.
... Background: Determining the complex relationship between diseases, polymorphisms in human genes and environmental factors is challenging. Multifactor dimensionality reduction (MDR) has proven capable of ...
8
Dimensionality reduction in Bayesian estimation algorithms
... We first show that conventional Bayesian retrievals in 3-channel space can lead to nearly useless estimates owing to match failures and/or over-averaging. We then demonstrate a technique for reducing the ...
26
Rotational Linear Discriminant Analysis Using Bayes Rule for Dimensionality Reduction
... Abstract: Linear discriminant analysis (LDA) finds an orientation that projects high dimensional feature vectors to reduced dimensional feature space in such a way that the overlapping between the classes in this feature ...
4
Multivariate autoregressive modelling of sea level time series from TOPEX/Poseidon satellite altimetry
... mensionality reduction, spatio-temporal description and ex- traction of dominant variability modes are often primary ...for dimensionality reduction are required, such as the Isomap procedure ...
8
COSIMA data analysis using multivariate techniques
... large dimensionality reduction, which is suffi- cient for most ...on dimensionality reduction, which must not be ...The dimensionality reduction method, random projections (RPs), ...
12
Multimodal Biometrics Recognition by Dimensionality Diminution Method
... In this paper, a new dimensionality reduction method called Dimension Diminish Projection (DDP) is proposed for multimodal biometric recognition. DDP preserves local information by capturing the intra-modal ...
3
Big Data, machine learning and challenges of high dimensionality in financial administration
... of dimensionality reduction on the performance of portfolios generated from mean- variance optimization, Tayalı and Tolun (2018) applied Non-negative Matrix Factorization (NMF) and Non-negative Principal ...
241
Identification Using Classification Analysis of Flunitrazepam in Necrophagous Larvae via Differential Pulse Voltammetry and Fluorescence Excitation-Emission Matrix (EEM) Spectroscopy
... simple, low cost and high precision electrochemical method to detect the presence of flunitrazepam in necrophagous larvae using differential pulse voltammetry (DPV). Voltammograms were submitted to multivariate ...
10
FEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORK
... Feature dimensionality reduction problem is a major issue in Content Based Medical Image Retrieval (CBMIR) for the effective management of medical images with the support of visual features for the purpose ...
15
The photographic subversion: Benjamin, Manet and Art(istic) reproduction
... Fig. Paris: Bibliothèque Nationale de France... of the female nude, not only because of her three-dimensionality but also because she dominates the viewer’s field of vision. In this form[r] ...
22
POVERTY REDUCTION AND INFORMAL TRADE
... This paper analyses poverty reduction though informal trade in Mozambique, using questionnaire data and a logit model.. The Mozambique economy is dominated by infor[r] ...
27
Daily variation of zooplankton abundance and evenness in the Rosana reservoir, Brazil: biotic and abiotic inferences
... l egendre , 1998) was used to reduce the data dimensionality and identify the relationships between the abundance of major zooplankton species (those contributing with at least 3% of [r] ...
11
Internal validity, dimensionality and performance of the Body Shape Questionnaire in a group of Brazilian college students
... Objective: To adapt the Body Shape Questionnaire for use in the Brazilian population; to study the internal validity and the dimensionality of the scale when used in a non-clinical Brazilian population. Method: A ...
4
Reduction of amides by boranes.
... Apesar de nitrilas serem intermediárias ou produtos de reação de amidas primárias com redutores nucleofílicos (NaBH 4 ou LiBH 4 em diglima) 28,36 , a formação de aminas pela redução po[r] ...
12
Rev. Assoc. Med. Bras. vol.56 número6
... volume reduction surgery or lung reduction surgery, pneumo- plasty or reduction pneumoplasty, COPD or chronic obstructive pulmonary disease and surgery, were ...
5
Memory Reduction via Delayed Simulation
... memory reduction at an earlier stage, namely before the construction of a positional winning strategy over G ′ ...This reduction yields a smaller graph G ′ 0 with memory structure S 0 ; it has the same type ...
15
On Materiality and Dimensionality of the Space. Is There Some Unit of the Field?
... the dimensionality of the space the natural modification of Newton’s law occurs, and the force of gravitational attraction for the two-dimensional space be- comes inversely proportional to the distance in the ...
4