UCI data sets
Classifier ensemble reduction using a modified firefly algorithm: An empirical evaluation
... dimensional UCI data sets (Bache and Lichman, 2013), the proposed algorithm outperforms other state-of-the-art FA variants, BBOB optimizers, and several classical search methods, significantly, in ...
35
C PNN: Multiple instance Learning Based on Clustering and Probabilistic Neural Network
... Abstract. Due to a significant difference between single-instance learning(SIL) and multiple-instance learning(MIL), many traditional learning methods such as nearest neighbor classification, SVM and other classification ...
7
Subclass problem-dependent design for error-correcting output codes
... based on embedding dichotomizers in a problem-dependent ECOC design by considering subsets of the original set of classes. In particular, difficult problems where the given base classifier is not flexible enough to ...
14
Diversity of Virophages in Metagenomic Data Sets
... protein is generally considered to be a conserved protein among viruses, and it is widely used to reconstruct phyloge- netic trees. It was also conserved in virophages, based on blast sequence similarity searches and ...
12
DATA CLEANING TECHNIQUES FOR SOFTWARE ENGINEERING DATA SETS
... poor data and its magnitude in software engineering ...analysing data about data quality must be carried ...a data item may be ...a data set may be difficult to ...of data ...
192
Restricted Algorithms System Sets Sets Your Constructive
... / SETS due to building restrictions as ...of sets, is basically the projection geometrically different planes, sometimes simplifying dimensional global different ...
10
Lossless Compression of SKA Data Sets
... astronomical data archives continuing to increase at an enormous rate, the providers and end users of astronomical data sets will benefit from effective data compression ...lossless ...
10
Dimensionality reduction of clustered data sets
... the data; one class is reasonably separated, but the other six are completely ...Toy data: The solid dotted line represents the first principal direction of the data; the solid line is the ...
7
Prepare and Optimize Data Sets for Data Mining Analysis
... factual data examination which is utilized within numerous fields like machine learning, picture investigation, data recovery, and ...individual data set and expected utilization of the ...
8
Classification of remote sensed data using Artificial Bee Colony algorithm
... of data the classifiers are also categorised into parametric (sta- tistical) and non-parametric (non-statistical) classifiers (Voisin et ...training data set and the number of classes (Ashok Kumar, ...
8
ANFIS Based Classification Model for Heart Disease Prediction
... In this paper we used Cleveland heart disease dataset which is obtained from the UCI machine learning repository. This dataset contains 303 cases, 13 input fields and one output field which refers presence of ...
6
Disease Diagnosis Using Machine Learning Techniques: A Review and Classification
... of data mining techniques for disease ...used data mining techniques in disease classification which have been published between 2007 and 2019 in the Scopus and Google Scholar ...applied data mining ...
12
MEDIA GUIDE #XCOWORLDS
... Staff from the event organisation will be on hand in the media areas throughout the UCI Mountain Bike World Championships – Cross-country Olympic to assist you in fulfi lling your role at the event. If you have an ...
7
Interaction Data Sets In The UK: An Audit
... flow data can be ...flow data. CASWEB provides access to the sets of Key Statistics, Theme Tables, CAS and Standard Tables, whilst the SARs/CAMS/SAM data are available through the CCSR at ...
132
An Approach with SVM using Variable Features Selection on Breast Cancer Prognosis
... In [7] this study investigates the efficacy of applying support vector machines (SVM) to bankruptcy prediction problem. Although it is one of the known fact that the back-propagation neural network (BPN) performs well in ...
8
Data Driven Clinical Decision Support System for Medical Diagnosis and Treatment Recommendation
... patient data, lab test reports, prescribed medication, age, and gender for analysis and provides personalized advice to the ...patient data to the Clinical Rule Engine from Electronic Health ...patient ...
9
POSS Monomer and Reagent Chemistry Chemistry
... Joseph Lichtenhan (Hybrid Plastics LLC) Joseph Schwab (Hybrid Plastics LLC) Shawn Phillips (AFRL - Edwards AFB) Joseph Ziller (UCI Crystallography) John Greaves (UCI Mass Spec Facility) [r] ...
35
Fetal distress prediction using discriminant analysis, decision tree, and artificial neural network
... Cardiotocography data set from UCI Machine Learning Repository website with discriminant analysis, decision tree, and artificial neural network te- chniques to create the classification models to predict ...
8
Deep Groundwater Metagenomics : Computational Analysis of Microbial Communities and Metabolic Pathways
... In Chapter 3 we presented several basic and more advanced techniques to assessing the adequacy of the sample coverage and annotation in the novel metagenomic sam- ples. We were not able to use indexes, such as the ...
70
A Machine Learning Classifier Based on Statistical Method for Small Number of Samples
... The breast cancer data set came from UCI and was donated in 1988 by m. Zwitter and m. Soklic who were with the institute of oncology, university of ljubljana, Yugoslavia [13].There were 286 instances in the ...
9