Related references
Note: Only part of the references are listed.A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks
Hiram Ponce et al.
SENSORS (2016)
A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks
Hiram Ponce et al.
SENSORS (2016)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Search Retargeting using Directed Query Embeddings
Mihajlo Grbovic et al.
WWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (2015)
A survey on retail sales forecasting and prediction in fashion markets
Samaneh Beheshti-Kashi et al.
SYSTEMS SCIENCE & CONTROL ENGINEERING (2015)
Analysis of Search and Browsing Behavior of Young Users on the Web
Sergio Duarte Torres et al.
ACM TRANSACTIONS ON THE WEB (2014)
Predicting Click-Through Rates of New Advertisements Based on the Bayesian Network
Zhipeng Fang et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2014)
Botnets: A Study and Analysis
G. Kirubavathi et al.
COMPUTATIONAL INTELLIGENCE, CYBER SECURITY AND COMPUTATIONAL MODELS (2014)
Comparing predicted prices in auctions for online advertising
Eric Bax et al.
INTERNATIONAL JOURNAL OF INDUSTRIAL ORGANIZATION (2012)
Deep Machine Learning-A New Frontier in Artificial Intelligence Research
Itamar Arel et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2010)
The Economics of Click Fraud
Nir Kshetri
IEEE SECURITY & PRIVACY (2010)
Online Advertising: Heterogeneity and Conflation in Market Design
Jonathan Levin et al.
AMERICAN ECONOMIC REVIEW (2010)
Online advertising: Pay-per-view versus pay-per-click with market power
Kenneth Fjell
JOURNAL OF REVENUE AND PRICING MANAGEMENT (2010)
Cookies
Andrew F. Tappenden et al.
ACM Transactions on the Web (2009)
Classifying Search Queries Using the Web as a Source of Knowledge
Evgeniy Gabrilovich et al.
ACM TRANSACTIONS ON THE WEB (2009)
Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap
Ji-Hyun Kim
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2009)
A review of machine learning approaches to Spam filtering
Thiago S. Guzella et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Learning Deep Architectures for AI
Yoshua Bengio
FOUNDATIONS AND TRENDS IN MACHINE LEARNING (2009)
Building Predictive Models in R Using the caret Package
Max Kuhn
JOURNAL OF STATISTICAL SOFTWARE (2008)
Recursive feature elimination with random forest for PTR-MS analysis of agroindustrial products
Pablo M. Granitto et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2006)
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton et al.
NEURAL COMPUTATION (2006)
Gene selection and classification of microarray data using random forest -: art. no. 3
R Díaz-Uriarte et al.
BMC BIOINFORMATICS (2006)
An introduction to ROC analysis
Tom Fawcett
PATTERN RECOGNITION LETTERS (2006)
Why do people avoid advertising on the Internet?
CH Cho et al.
JOURNAL OF ADVERTISING (2004)
Time series forecasting using a hybrid ARIMA and neural network model
GP Zhang
NEUROCOMPUTING (2003)
Business data mining - a machine learning perspective
I Bose et al.
INFORMATION & MANAGEMENT (2001)
Share Paper
