LCS & GBML on Twitter- Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Seri... http://t.co/r06YMiMB May 20, 2012
- Machine Learning: An Artificial Intelligence Approach: Multistrategy learning is one of the newest and most prom... http://t.co/FFooCyzC May 20, 2012
- RT @bookwatchiprog Machine Learning in Action (Manning) is I Programmer's most popular book review so far this year http://t.co/uYZmgMx5 May 20, 2012
- RT @bookwatchiprog Machine Learning in Action (Manning) is I Programmer's most popular book review so far this year http://t.co/HpgXiCzy May 20, 2012
- RT @bookwatchiprog Machine Learning in Action (Manning) is I Programmer's most popular book review so far this year http://t.co/r3s0PJjG May 20, 2012
- RT @bookwatchiprog Machine Learning in Action (Manning) is I Programmer's most popular book review so far this year http://t.co/GjM9OxXV May 20, 2012
Category Archives: Uncategorized
Model accuracy in the Bayesian optimization algorithm
Abstract Evolutionary algorithms (EAs) are particularly suited to solve problems for which there is not much information available.
From this standpoint, estimation of distribution algorithms (EDAs), which guide the search by using probabil… Continue reading
Posted in Uncategorized
Tagged Soft Computing - A Fusion of Foundations, Methodologies and Applications
Comments Off
Effect algebras are conditionally residuated structures
Abstract The aim of the paper was to link up the structures used in foundations of quantum logic and that arising in many-valued reasoning.
It is shown that effect algebras and pseudoeffect algebras can be described as conditionally residua… Continue reading
Posted in Uncategorized
Tagged Soft Computing - A Fusion of Foundations, Methodologies and Applications
Comments Off
Artificial immune system in dynamic environments solving time-varying non-linear constrained multi-objective problems
Abstract A bio-inspired artificial immune system is developed to track dynamically the Pareto fronts of time-varying constrained multi-objective
problems with changing variable dimensions. It executes in order T-module, B-module, and M-modu… Continue reading
Posted in Uncategorized
Tagged Soft Computing - A Fusion of Foundations, Methodologies and Applications
Comments Off
REGAL-TC: a distributed genetic algorithm for concept learning based on REGAL and the treatment of counterexamples
Abstract This paper presents a proposal to improve REGAL, a concept learning system based on a distributed genetic algorithm that learns
first-order logic multi-modal concept descriptions in the field of classification tasks. This algorithm… Continue reading
Posted in Uncategorized
Tagged Soft Computing - A Fusion of Foundations, Methodologies and Applications
Comments Off
IEEE Transactions on Evolutionary Computation publication information
Posted in Uncategorized
Comments Off
Diversity Improvement by Non-Geometric Binary Crossover in Evolutionary Multiobjective Optimization
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover operators for binary strings (e.g., one-point, two-point, and uniform) t… Continue reading
Posted in Uncategorized
Comments Off
Toward an Estimation of Nadir Objective Vector Using a Hybrid of Evolutionary and Local Search Approaches
A nadir objective vector is constructed from the worst Pareto-optimal objective values in a multiobjective optimization problem and is an important entity to compute because of its significance in estimating the range of objective values in the Pareto-… Continue reading
Posted in Uncategorized
Comments Off
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but also to track the trajectory of the changing optima over dynamic environmen… Continue reading
Posted in Uncategorized
Comments Off
Multimodal Optimization by Means of a Topological Species Conservation Algorithm
Any evolutionary technique for multimodal optimization must answer two crucial questions in order to guarantee some success on a given task: How to most unboundedly distinguish between the different attraction basins and how to most accurately safeguar… Continue reading
Posted in Uncategorized
Comments Off