Telecommunication Networks -- to Telecommunication Networks -- Digital Networks -- IP-Based Networks -- Queuing Theory and Applications -- Survey on Probability Theory -- Markov Chains and Queuing Theory -- M/G/1 Queuing Theory and Applications -- Local Area Networks Analysis -- Networks of Queues.Queuing Theory and Telecommunications : Networks and Applications provides some fundamental knowle…
Keynote Speech and Invited Talks -- Theoretic Foundations -- Association Rules -- Biomedical Domains -- Classification and Ranking -- Clustering -- Dynamic Data Mining -- Graphic Model Discovery -- High Dimensional Data -- Integration of Data Warehousing -- Knowledge Management -- Machine Learning Methods -- Novel Algorithms -- Spatial Data -- Temporal Data -- Text and Web Data Mining.The Pacif…
Probabilistic Latent Clustering of Device Usage -- Condensed Nearest Neighbor Data Domain Description -- Balancing Strategies and Class Overlapping -- Modeling Conditional Distributions of Continuous Variables in Bayesian Networks -- Kernel K-Means for Categorical Data -- Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction -- A Distance-Based Method for Preference Info…
Theory: Probabilistic Classifiers -- Theory: Generalization Bounds -- Theory: Semi-Supervised Learning -- Algorithm: Maximum Likelihood Minimum Entropy HMM -- Algorithm: Margin Distribution Optimization -- Algorithm: Learning the Structure of Bayesian Network Classifiers -- Application: Office Activity Recognition -- Application: Multimodal Event Detection -- Application: Facial Expression Reco…
Pushing Constraints to Detect Local Patterns -- From Local to Global Patterns: Evaluation Issues in Rule Learning Algorithms -- Pattern Discovery Tools for Detecting Cheating in Student Coursework -- Local Pattern Detection and Clustering -- Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery -- Visualizing Very Large Graphs Using Clustering Neighborhoods -- Fe…
Probabilistic Modeling -- A Leisurely Look at Statistical Inference -- to Learning Bayesian Networks from Data -- A Casual View of Multi-Layer Perceptrons as Probability Models -- Bioinformatics -- to Statistical Phylogenetics -- Detecting Recombination in DNA Sequence Alignments -- RNA-Based Phylogenetic Methods -- Statistical Methods in Microarray Gene Expression Data Analysis -- Inferring Ge…
Single Stream Networks -- Background -- The Negative Feedback Network -- Peer-Inhibitory Neurons -- Multiple Cause Data -- Exploratory Data Analysis -- Topology Preserving Maps -- Maximum Likelihood Hebbian Learning -- Dual Stream Networks -- Two Neural Networks for Canonical Correlation Analysis -- Alternative Derivations of CCA Networks -- Kernel and Nonlinear Correlations -- Exploratory Corr…
Systems of Containers and Enumeration Problems -- Some Heuristic Analysis of Local Search Algorithms for SAT Problems -- Clustering in Stochastic Asynchronous Algorithms for Distributed Simulations -- On Construction of the Set of Irreducible Partial Covers -- Recent Advances in Multiobjective Optimization -- Polynomial Time Checking for Generation of Finite Distributions of Rational Probabilit…
Switching and Control -- From Feedback Control to Complexity Management: A Personal Perspective -- Convex Cones, Lyapunov Functions, and the Stability of Switched Linear Systems -- Survey of Explicit Approaches to Constrained Optimal Control -- Gaussian Processes -- Analysis of Some Methods for Reduced Rank Gaussian Process Regression -- Filtered Gaussian Processes for Learning with Large Data-…
Invited Talks -- Data Analysis in the Life Sciences — Sparking Ideas — -- Machine Learning for Natural Language Processing (and Vice Versa?) -- Statistical Relational Learning: An Inductive Logic Programming Perspective -- Recent Advances in Mining Time Series Data -- Focus the Mining Beacon: Lessons and Challenges from the World of E-Commerce -- Data Streams and Data Synopses for Massive D…