Description
Springer Crib Death Sudden Unexplained Death Of Infants - The Pathologists Viewpoint by Giulia Ottaviani
Crib death (SIDS) is the most frequent cause of death for infants during the first year. A systematic study of the autonomic nervous system and cardiac system has been performed on a large number of infants and fetuses who died suddenly and unexpectedly, as well as in age-matched control cases. The neurological and cardiac findings are described here, and the relationship between SIDS and unexplained fetal death is discussed. Oral Presentations.- Training Time and Team Composition Robustness in Evolved Multi-agent Systems.- Winning Ant Wars: Evolving a Human-Competitive Game Strategy Using Fitnessless Selection.- In Silicon No One Can Hear You Scream: Evolving Fighting Creatures.- Real-Time, Non-intrusive Speech Quality Estimation: A Signal-Based Model.- Good News: Using News Feeds with Genetic Programming to Predict Stock Prices.- A Genetic Programming Approach to Deriving the Spectral Sensitivity of an Optical System.- A SIMD Interpreter for Genetic Programming on GPU Graphics Cards.- Partitioned Incremental Evolution of Hardware Using Genetic Programming.- Population Parallel GP on the G80 GPU.- Operator Equalisation and Bloat Free GP.- Practical Model of Genetic Programming's Performance on Rational Symbolic Regression Problems.- Semantic Building Blocks in Genetic Programming.- A Simple Powerful Constraint for Genetic Programming.- Crossover, Sampling, Bloat and the Harmful Effects of Size Limits.- The Performance of a Selection Architecture for Genetic Programming.- A Comparison of Cartesian Genetic Programming and Linear Genetic Programming.- Evolvability Via Modularity-Induced Mutational Focussing.- A Linear Estimation-of-Distribution GP System.- Feature Discovery in Reinforcement Learning Using Genetic Programming.- Hardware Accelerators for Cartesian Genetic Programming.- Genetic Programming and Class-Wise Orthogonal Transformation for Dimension Reduction in Classification Problems.- Posters.- Evolving Proactive Aggregation Protocols.- GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation.- Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution.- Cooperative Problem Decomposition in Pareto Competitive Classifier Models of Coevolution.- Integrating Categorical Variables with Multiobjective Genetic Programming for Classifier Construction.- The Effects of Constant Neutrality on Performance and Problem Hardness in GP.- Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering.- PlasmidPL: A Plasmid-Inspired Language for Genetic Programming.- Using Genetic Programming for Turing Machine Induction.- Altering Search Rates of the Meta and Solution Grammars in the mGGA.