Genetic Programming
18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings
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55 Result(s)
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James McDermott
English
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Chapter and Conference Paper
Improving Fitness Functions in Genetic Programming for Classification on Unbalanced Credit Card Data
Credit card classification based on machine learning has attracted considerable interest from the research community. One of the most important tasks in this area is the ability of classifiers to handle the im...
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Chapter and Conference Paper
Collective Anomaly Detection Based on Long Short-Term Memory Recurrent Neural Networks
Intrusion detection for computer network systems is becoming one of the most critical tasks for network administrators today. It has an important role for organizations, governments and our society due to the ...
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Chapter and Conference Paper
Grammatical Music Composition with Dissimilarity Driven Hill Climbing
An algorithmic compositional system that uses hill climbing to create short melodies is presented. A context free grammar maps each section of the resultant individual to a musical segment resulting in a serie...
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Chapter and Conference Paper
One-Class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming
A novel approach is proposed for fast anomaly detection by one-class classification. Standard kernel density estimation is first used to obtain an estimate of the input probability density function, based on t...
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Book and Conference Proceedings
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Chapter
Genetic Programming
Genetic programming (GP ) is the subset of evolutionary computation in which the aim is to create executable programs. It is an exciting field with many applications, some immediate and practical, others long-te...
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Article
Impact of Intraoperative Distractions on Patient Safety: A Prospective Descriptive Study Using Validated Instruments
There is emerging evidence indicating that distractions in the operating room (OR) are prevalent. Studies have shown a negative impact of distractions, but they have been conducted mostly with residents in sim...
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Book and Conference Proceedings
Evolutionary and Biologically Inspired Music, Sound, Art and Design
Third European Conference, EvoMUSART 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers
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Chapter and Conference Paper
Geometric Semantic Genetic Programming for Financial Data
We cast financial trading as a symbolic regression problem on the lagged time series, and test a state of the art symbolic regression method on it. The system is geometric semantic genetic programming, which a...
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Chapter and Conference Paper
Higher Order Functions for Kernel Regression
Kernel regression is a well-established nonparametric method, in which the target value of a query point is estimated using a weighted average of the surrounding training examples. The weights are typically ob...
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Chapter and Conference Paper
Measuring Mutation Operators’ Exploration-Exploitation Behaviour and Long-Term Biases
We propose a simple method of directly measuring a mutation operator’s short-term exploration-exploitation behaviour, based on its transition matrix. Higher values for this measure indicate a more exploitative...
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Article
Graph grammars for evolutionary 3D design
A new interactive evolutionary 3D design system is presented. The representation is based on graph grammars, a fascinating and powerful formalism in which nodes and edges are iteratively rewritten by rules ana...
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Article
Better GP benchmarks: community survey results and proposals
We present the results of a community survey regarding genetic programming benchmark practices. Analysis shows broad consensus that improvement is needed in problem selection and experimental rigor. While view...
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Book and Conference Proceedings
Evolutionary and Biologically Inspired Music, Sound, Art and Design
Second International Conference, EvoMUSART 2013, Vienna, Austria, April 3-5, 2013. Proceedings
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Chapter
Should Music Interaction Be Easy?
A fundamental assumption in the fields of human-computer interaction and usability studies is that interfaces should be designed for ease of use, with a few exceptions such as the trade-off with long-term powe...
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Chapter
FlexGP.py: Prototy** Flexibly-Scaled, Flexibly-Factored Genetic Programming for the Cloud
Running genetic programming on the cloud presents researchers with great opportunities and challenges. We argue that standard island algorithms do not have the properties of elasticity and robustness required ...
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Chapter and Conference Paper
Program Optimisation with Dependency Injection
For many real-world problems, there exist non-deterministic heuristics which generate valid but possibly sub-optimal solutions. The program optimisation with dependency injection method, introduced here, allows s...
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Chapter and Conference Paper
Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty
It is commonly accepted that a map** is local if it preserves neighbourhood. In Evolutionary Computation, locality is generally described as the property that neighbouring genotypes correspond to neighbourin...
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Chapter
Evolutionary and Generative Music Informs Music HCI—And Vice Versa
This chapter suggests a two-way influence between the field of evolutionary and generative music and that of human–computer interaction and usability studies. The interfaces used in evolutionary and generative...
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Chapter and Conference Paper
Flex-GP: Genetic Programming on the Cloud
We describe Flex-GP, which we believe to be the first largescale genetic programming cloud computing system. We took advantage of existing software and selected a socket-based, client-server architecture and a...
