Results 61 to 70 of about 22,758,962 (282)
Using online linear classifiers to filter spam Emails [PDF]
, 2007 The performance of two online linear classifiers - the Perceptron and Littlestone’s Winnow – is explored for two anti-spam filtering benchmark corpora - PU1 and Ling-Spam.
Jones, Gareth J.F. +2 more
core +2 more sources
Empirical analysis of tree-based classification models for customer churn prediction
Scientific AfricanCustomer churn is a vital and reoccurring problem facing most business industries, particularly the telecommunications industry. Considering the fierce competition among telecommunications firms and the high expenses of attracting and gaining new ...
Fatima E. Usman-Hamza +8 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
A Study of Different Quality Evaluation Functions in the cAnt-MinerPB Classification Algorithm [PDF]
, 2012 Ant colony optimization (ACO) algorithms for classification in general employ a sequential covering strategy to create a list of classification rules.
Otero, Fernando E.B. +3 more
core +1 more source
A machine learning approach to predict the S&P 500 absolute percent change
Discover Artificial IntelligenceModels of the stock market often focus on predicting the direction of the stock market. Instead of following this approach, we created a model to predict the daily absolute percent change of the S&P 500.
F. S. Rodriguez +4 more
doaj +1 more source
FEBS Letters, EarlyView.Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani +3 more
wiley +1 more source
Improving the interpretability of classification rules discovered by an ant colony algorithm. [PDF]
, 2013 The vast majority of Ant Colony Optimization (ACO) al- gorithms for inducing classification rules use an ACO-based procedure to create a rule in an one-at-a-time fashion. An improved search strategy has been proposed in the cAnt- MinerPB algorithm, where
Otero, Fernando E.B. +3 more
core +1 more source
Structure‐forward targeting of claudins with synthetic binders
FEBS Letters, EarlyView.Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
Modular feature selection using relative importance factors [PDF]
, 2004 Feature selection plays an important role in finding relevant or irrelevant features in classification. Genetic algorithms (GAs) have been used as conventional methods for classifiers to adaptively evolve solutions for classification problems.
Li, P, Guan, SU, Zhu, F
core +1 more source
ADC 2005: 16th Australasian Database Conference [PDF]
, 2005 Rule-based classification systems have been widely used in real world applications because of the easy interpretability of rules. Many traditional rule-based classifiers prefer small rule sets to large rule sets, but small classifiers are sensitive to ...
Li, Jiuyong, Hu, Hong
core +1 more source