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Advances in Artificial Intelligence

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Cover of 'Advances in Artificial Intelligence'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation
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    Chapter 2 Darwinian Networks
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    Chapter 3 Improvements to the Linear Optimization Models of Patrol Scheduling for Mobile Targets
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    Chapter 4 Trajectory Generation with Player Modeling
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    Chapter 5 Policies, Conversations, and Conversation Composition
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    Chapter 6 Task Allocation in Robotic Swarms: Explicit Communication Based Approaches
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    Chapter 7 Budget-Driven Big Data Classification
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    Chapter 8 Inferring User Profiles in Online Social Networks Using a Partial Social Graph
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    Chapter 9 An Improved Machine Learning Approach for Selecting a Polyhedral Model Transformation
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    Chapter 10 Dynamic Budget-Constrained Pricing in the Cloud
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    Chapter 11 Visual Predictions of Traffic Conditions
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    Chapter 12 Privacy-aware Wrappers
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    Chapter 13 Analyzing Productivity Shifts in Meetings
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    Chapter 14 Temporal Feature Selection for Noisy Speech Recognition
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    Chapter 15 Simulating Naming Latency Effects
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    Chapter 16 On Assessing the Sentiment of General Tweets
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    Chapter 17 Real-Time Sentiment-Based Anomaly Detection in Twitter Data Streams
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    Chapter 18 Sentiment and Factual Transitions in Online Medical Forums
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    Chapter 19 Abstractive Meeting Summarization as a Markov Decision Process
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    Chapter 20 Rule Extraction from Random Forest: the RF+HC Methods
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    Chapter 21 A Density-Penalized Distance Measure for Clustering
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    Chapter 22 Learning Paired-Associate Images with an Unsupervised Deep Learning Architecture
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    Chapter 23 Incremental Cluster Updating Using Gaussian Mixture Model
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    Chapter 24 Emotional Affect Estimation Using Video and EEG Data in Deep Neural Networks
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    Chapter 25 Active Learning with Clustering and Unsupervised Feature Learning
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    Chapter 26 STOCS: An Efficient Self-Tuning Multiclass Classification Approach
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    Chapter 27 Consolidation Using Sweep Task Rehearsal: Overcoming the Stability-Plasticity Problem
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    Chapter 28 Resolving Elections with Partial Preferences Using Imputation
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    Chapter 29 Novel Game Playing Strategies Using Adaptive Data Structures
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    Chapter 30 Auto-FAQ-Gen: Automatic Frequently Asked Questions Generation
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    Chapter 31 Representational Transfer in Deep Belief Networks
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    Chapter 32 Unsupervised Multi-modal Learning
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    Chapter 33 On the Usage of Discourse Relations Across Texts with Different Readability Levels
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    Chapter 34 A Framework for Discovering Bursty Events and Their Relationships from Online News Articles
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    Chapter 35 Behavioural Game Theory: Predictive Models and Mechanisms
Attention for Chapter 20: Rule Extraction from Random Forest: the RF+HC Methods
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Chapter title
Rule Extraction from Random Forest: the RF+HC Methods
Chapter number 20
Book title
Advances in Artificial Intelligence
Published by
Springer, Cham, June 2015
DOI 10.1007/978-3-319-18356-5_20
Book ISBNs
978-3-31-918355-8, 978-3-31-918356-5
Authors

Morteza Mashayekhi, Robin Gras

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 41%
Student > Master 7 17%
Researcher 6 15%
Other 3 7%
Student > Bachelor 1 2%
Other 2 5%
Unknown 5 12%
Readers by discipline Count As %
Computer Science 15 37%
Engineering 4 10%
Biochemistry, Genetics and Molecular Biology 3 7%
Agricultural and Biological Sciences 3 7%
Earth and Planetary Sciences 2 5%
Other 7 17%
Unknown 7 17%