Titlebook: Artificial Intelligence Applications and Innovations; 6th IFIP WG 12.5 Int Harris Papadopoulos,Andreas S. Andreou,Max Bramer Conference pro

一條卷發(fā)

Prediction with Confidence Based on a Random Forest Classifierepends on the nonconformity measure that underlies the predictor. In this work we designed new nonconformity measures based on a random forest classifier. Experiments demonstrate that proposed conformal predictors are more efficient than current benchmarks on noisy mass spectrometry data (and at lea

輕而薄

不理會(huì)

A Fuzzy Rule-Based Approach to Design Game Rules in a Mission Planning and Evaluation System offer mechanisms to predict and assess the effectiveness of the mission plans and operations in achieving the military objectives. In this paper, we present a new approach to design the games rules of wargames using fuzzy rule bases, for quantitatively evaluating the effectiveness of air tasking mi

深陷

毗鄰

Forecasting Euro – United States Dollar Exchange Rate with Gene Expression Programming Specifically, using the GEP Environment we tried to forecast the value of the exchange rate using its previous values. The data for the EURO-USD exchange rate are online available from the European Central Bank (ECB). The environment was developed using the JAVA programming language, and is an impl

切碎

aspect

Multiple Criteria Performance Analysis of Non-dominated Sets Obtained by Multi-objective Evolutionar use of evolutionary algorithms, more specifically through SPEA2 or NSGA-II. Problem examples from different problem domains are analyzed on four criteria of quality. These four criteria namely . of the non-dominated set, . of the solutions, ., and . do not favour any algorithm along the problem exa

Nuance

Efficiency and Robustness of Three Metaheuristics in the Framework of Structural Optimizationver the last two decades. The purpose of the present work is to quantitatively compare three metaheuristic optimization algorithms, namely the Differential Evolution, Harmony Search and Particle Swarm Optimization methods, in the framework of structural optimization. The comparison of the optimizers

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A Fuzzy Non-linear Similarity Measure for Case-Based Reasoning Systems for Radiotherapy Treatment Ply radiation in a way that destroys tumour cells but minimizes the damage to healthy tissue and organs at risk. Treatment planning for brain cancer patients is a complex decision-making process that relies heavily on the subjective experience and expert domain knowledge of clinicians. We propose to c

defile

A Soft Computing Approach for Osteoporosis Risk Factor Estimationse, namely osteoporosis. Probabilistic Neural Networks (PNNs) and Learning Vector Quantization (LVQ) ANNs, were developed for the estimation of osteoporosis risk. PNNs and LVQ ANNs are both feed-forward networks; however they are diversified in terms of their architecture, structure and optimization