Top PDF Gestión, liderazgo y valores en la administración del Instituto Superior Tecnológico de Cine y Actuación, durante el año 2010
Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
... consists of 27 peer-reviewed papers selected from IMSCCS Symposium of Computational Biology and Bioinformatics (SCBB) held in Zhejiang University, Hangzhou, China on June 21-22, ...biological data ...
MULTI-VIEW FACE DETECTION BASED ON KERNEL PRINCIPAL COMPONENT ANALYSIS AND KERNEL SUPPORT VECTOR TECHNIQUES
... projections of the data onto these nonlinear ...the classifying function, based on the nonlinear ...type of classifiers has over traditional neural networks is that Support ...
Packet Classification using Support Vector Machines with String Kernels
... set of sample traffic trace to train the classification engine to identify future traffic based on the application flow behaviors, such as packet length, inter- packet arrival time, TCP and IP flags, and ...specific ...
Quality assessment of coffee beans through computer vision and machine learning algorithms
... sorting machines, which are often inefficient because some coffee beans defects, such as sour and immature beans, have similar spectral response ...importance of shape and color features for different ...
AADT prediction using support vector regression with data-dependent parameters
... year of horizon of the analysis. The huge amounts of money to be invested in designed transportation systems are strongly associated with the traffic volumes expected in the system, which means that it ...
Classifying Cyst and Tumor Lesion Using Support Vector Machine Based on Dental Panoramic Images Texture Features
... the data in both classes, and making a perfect linear separation cannot be ...original data points from the input space to a high dimensional feature space (see ...validation of 133 data ...
Facilitating functional annotation of chicken microarray data
... aspects of computational methods used in the analysis and annotation of sequences and structures, as well as all other areas of computational ...
Detecting violent excerpts in movies using audio
... group of researchers created different classifiers for audio and video, to recognize distinc- tive characteristics in ...case of audio, they used a classifier, based on Bayesian Network and an One vs All ...
Data mining in HIV-AIDS surveillance system
... kernel of de- gree 3, a gamma parameter equal to the inverse of sample size, a constant of the regularization term in the Lagrange formulation equal to one, a tolerance equal to ...error of ϵ ...
A Machine Learning Approach to Predict Air Quality in California
... one of the most important and widely used models to forecast time ...range of processes, and the ability to be ...quality of life in urban areas has emerged, statistical methods like ARIMA have been ...
Rev. bras. linguist. apl. vol.11 número2
... frequency of occurrence and co- occurrence frequencies come into play in human classification behavior as compared to machine ...success of machine classification in reproducing linguistic choice behavior ...
Applying feature transformation using Relative Frequency with Power Transformation and Lemmatization in automatic Spam Filtering
... sets of experiments were carried out to study the impact of features transformation coupled with lemmatization technique on email ...effect of lemmatization to reduce features inflectional forms and ...
Classifying and Identifying of Threats in E-mails - Using Data Mining Techniques
... important data mining problem. The input is a dataset of training records (also called training database), wherein each record has several ...label of future, unlabeled ...tree, support ...
Comparison of support vector machine and object based classification methods for coastline detection
... efficiency of two different methods for detection of coastline features from satellite images, which cover Lakeland region of Turkey, has been ...a vector file from satellite imagery. As a ...
A Hybrid Reduction Approach for Enhancing Cancer Classification of Microarray Data
... or microarray analysis has enabled the measurement of thousands of ...goal of most microarray ...characteristics of the training data to select genes which show ...
OPTIMIZATION OF MATERIAL FLOW IN FLEXIBLE MANUFACTURING SYSTEM
... production of a variety of part types with low setup time, low work-in-process, low inventory, short manufacturing lead time, high machine utilization and high ...composed of separate workstations ...
Weighted Twin Support Vector Machine with Universum
... speed of TSVM approximately four times faster than the standard ...success of [1] and [12], we proposed a weighted Twin Support Vector Machine with Universum (called �-WTSVM), give different ...
Comparing support vector machines and artificial neural networks in the recognition of steering angle for driving of mobile robots through paths in plantations
... stage of the work was to achieve an exact percentage of correct recognition, a fact that is due to similarity of the skeletons obtained from those images having similar values of ...update ...
Data mining methods in the prediction of dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests
... comparisons of mean ranks for paired ...the data sets, equal a priori classification probabilities were used for Linear Discriminant Analysis, Quadratic Discriminant Analysis and Logistic ...Networks, ...
Dissertation to obtain Master degree in Biochemistry Supervisor: Maria Angelina de Sá Palma, UCIBIO, FCTUNL Co-supervisor: Ana Luísa Carvalho, UCIBIO, FCTUNL
... carbohydrate microarray designated Fungal and Plant PS set1 used in this study has proven to be a valid tool for initial high-throughput screening of newly identified CBMs or CBMs assigned to known families ...