K. Binder, M. Müller, P. Virnau, L.G. MacDowell: Polymer+Solvent Systems: Phase Diagrams, Interface Free Energies, and Nucleation -- P.H. Hünenberger: Thermostat Algorithms for Molecular-Dynamics Simulations -- S. Auer, D. Frenkel: Numerical Simulation of Crystal Nucleation in Colloids -- D.R. Heine, G.S. Grest, J.G. Curro: Structure of Polymer Melts and Blends: Comparison of Integral Equatio…
1 – General Artificial Intelligence (GAIW 2005) -- Reducing Propositional Theories in Equilibrium Logic to Logic Programs -- Preference Revision Via Declarative Debugging -- Revised Stable Models – A Semantics for Logic Programs -- Operational Semantics for DyLPs -- Case Retrieval Nets for Heuristic Lexicalization in Natural Language Generation -- Partially Parametric SVM -- Adapting Hausdo…
Keynote Papers -- Invited Papers -- Contributory Papers Clustering, Feature Selection and Learning -- Classification -- Neural Networks and Applications -- Fuzzy Logic and Applications -- Optimization and Representation -- Image Processing and Analysis -- Video Processing and Computer Vision -- Image Retrieval and Data Mining -- Bioinformatics Application -- Web Intelligence and Genetic Algorit…
This monograph is dedicated to a novel approach for uniform modelling of timed and hybrid systems. Heinrich Rust presents a time model which allows for both the description of discrete time steps and continuous processes with a dense real-number time model. The proposed time model is well suited to express synchronicity of events in a real-number time model as well as strict causality by using …
Caraka Tani Vol 35 No 1 April 2020 (Rak 7 - M : Pertanian)
Probabilistic and Informational Approaches -- Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application -- A Computational Approach to Fisher Information Geometry with Applications to Image Analysis -- Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering -- Concurrent Stereo Matching: An Image Noise-Driven Model…
New Neural Network Models -- Supervised Learning Algorithms -- Ensemble-Based Learning -- Unsupervised Learning -- Recurrent Neural Networks -- Reinforcement Learning -- Bayesian Approaches to Learning -- Learning Theory -- Artificial Neural Networks for System Modeling, Decision Making, Optimalization and Control -- Special Session: Knowledge Extraction from Neural Networks Organizer and Chair…
Modeling the Brain and Cognitive Functions -- Special Session: The Development of Cognitive Powers in Embodied Systems -- Spiking Neural Networks -- Associative Memory Models -- Models of Biological Functions -- Special Session: Projects in the Area of NeuroIT -- Evolutionary and Other Biological Inspirations -- Self-organizing Maps and Their Applications -- Computer Vision -- Face Recognition …
Computing by Observing Bio-systems: The Case of Sticker Systems -- DNA-Based Computation Times -- Computing Beyond the Turing Limit Using the H Systems -- Biomolecular Implementation of Computing Devices with Unbounded Memory -- Characterization of Non-crosshybridizing DNA Oligonucleotides Manufactured In Vitro -- Error Free Self-assembly Using Error Prone Tiles -- On the Computational Complexi…