Invited Paper -- Discovering Role of Linguistic Geometry -- Machine Learning and Pattern Recognition -- Elkan’s k-Means Algorithm for Graphs -- A Simple Approach to Incorporate Label Dependency in Multi-label Classification -- Methods and Algorithms of Information Generalization in Noisy Databases -- Object Class Recognition Using SIFT and Bayesian Networks -- Boosting Based Conditional Quantile Estimation for Regression and Binary Classification -- A Fast Fuzzy Cocke-Younger-Kasami Algorithm for DNA and RNA Strings Analysis -- A Fast Implementation of the CT_EXT Algorithm for the Testor Property Identification -- Supervised Probabilistic Classification Based on Gaussian Copulas -- Text-Independent Speaker Identification Using VQ-HMM Model Based Multiple Classifier System -- Towards One-Class Pattern  Recognition in Brain Activity  via Neural Networks -- Real Time Tracking of Musical Performances -- Recognizing Dactylogical Symbols with Image Segmentation and a New Differentiated Weighting Scheme -- Automatic Learning for Natural Language Processing -- Selecting Candidate Labels for Hierarchical Document Clusters Using Association Rules -- Recognizing Textual Entailment Using a Machine Learning Approach -- Detection of Different Authorship of Text Sequences through Self-organizing Maps and Mutual Information Function -- Supervised Machine Learning for Predicting the Meaning of Verb-Noun Combinations in Spanish -- Hybrid Intelligent Systems and Neural Networks -- On the Structure of Elimination Trees for Bayesian Network Inference -- CBR and Neural Networks Based Technique for Predictive Prefetching -- Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels -- Stability and Topology in Reservoir Computing -- A Radial Basis Function Redesigned for Predicting a Welding Process -- Dynamic Neural Networks Applied to Melody Retrieval -- Recognition of Huffman Codewords with a Genetic-Neural Hybrid System -- Fraud Detection Model Based on the Discovery Symbolic Classification Rules Extracted from a Neural Network -- Hardware Implementation of Artificial Neural Networks for Arbitrary Boolean Functions with Generalised Threshold Gate Circuits -- Evolutionary Algorithms and Other Naturally-Inspired Algorithms -- Solving No-Wait Flow Shop Scheduling Problems by a Hybrid Quantum-Inspired Evolutionary Algorithm -- Reducing the Search Space in Evolutive Design of ARIMA and ANN Models for Time Series Prediction -- Routing Algorithms for Wireless Sensor Networks Using Ant Colony Optimization -- Approximating Multi-Objective Hyper-Heuristics for Solving 2D Irregular Cutting Stock Problems -- Particle Swarm Optimization with Gravitational Interactions for Multimodal and Unimodal Problems -- Particle Swarm Optimization with Resets – Improving the Balance between Exploration and Exploitation -- MiTS: A New Approach of Tabu Search for Constructing Mixed Covering Arrays -- On the Best Evolutionary Wavelet Based Filter to Compress a Specific Signal -- Fuzzy Logic -- Financial Time Series Prediction in Cooperating with Event Knowledge: A Fuzzy Approach -- The Fuzzy Syllogistic System -- Big Five Patterns for Software Engineering Roles Using an ANFIS Learning Approach with RAMSET -- New Proposal for Eliminating Interferences in a Radar System -- Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions Applied to Benchmark Problems -- Fuzzy Logic for Parameter Tuning in Evolutionary Computation and Bio-inspired Methods -- Fuzzy Logic Controllers Optimization Using Genetic Algorithms and Particle Swarm Optimization -- FPGA Implementation of Fuzzy System with Parametric Membership Functions and Parametric Conjunctions -- Fuzzy Logic Hardware Implementation for Pneumatic Control of One DOF Pneumatic Robot.

This two-volume set LNAI 6437 and 6438 constitutes the refereed proceedings of the 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, held in Pachuca, Mexico, in November 2010. Based on rigorous peer reviews, the program committee carefully selected 82 revised papers from 301 submissions for presentation in two volumes. The second volume includes 44 papers focusing on soft computing. The papers are organized in topical sections on machine learning and pattern recognition; automatic learning for natural language processing; evolutionary algorithms and other naturally-inspired algorithms; hybrid intelligent systems and neural networks; and fuzzy logic.