Learning to Rank -- Ranking and Scoring Using Empirical Risk Minimization -- Learnability of Bipartite Ranking Functions -- Stability and Generalization of Bipartite Ranking Algorithms -- Loss Bounds for Online Category Ranking -- Boosting -- Margin-Based Ranking Meets Boosting in the Middle -- Martingale Boosting -- The Value of Agreement, a New Boosting Algorithm -- Unlabeled Data, Multiclass…
From Genetic Variation to Probabilistic Modeling -- Probabilistic Model-Building Genetic Algorithms -- Bayesian Optimization Algorithm -- Scalability Analysis -- The Challenge of Hierarchical Difficulty -- Hierarchical Bayesian Optimization Algorithm -- Hierarchical BOA in the Real World.This book provides a framework for the design of competent optimization techniques by combining advanced evo…
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…
Invited Papers -- Pattern Recognition for Computer Network Security -- Computer Vision for Augmented Reality and Augmented Environments -- Low and Middle Level Processing -- Image Segmentation -- Feature Extraction and Image Analysis -- Graphs -- Shape and Motion -- Image Modelling and Computer Graphics -- Image Communication, Coding and Security -- Computer Architectures, Technologies and Tool…
Keynote Addresses -- Rethinking Computer Architecture Research -- Event Servers for Crisis Management -- DIET: Building Problem Solving Environments for the Grid -- The Future Evolution of High-Performance Microprocessors -- Low Power Robust Computing -- Networks and Games -- Plenary Session - Best Papers -- An Incentive Driven Lookup Protocol for Chord-Based Peer-to-Peer (P2P) Networks -- A No…
Adaptive Business Intelligence Based on Evolution Strategies: Some Application Examples of Self-Adaptive Software -- Extending the Boundaries of Design Optimization by Integrating Fast Optimization Techniques with Machine Code Based, Linear Genetic Programming -- Evolutionary Optimization of Approximating Triangulations for Surface Reconstruction from Unstructured 3D Data -- An Evolutionary Alg…
Cellular Networks: Where Are the Mobile Users? -- Distributed Data Structures: A Survey -- On Designing Truthful Mechanisms for Online Scheduling -- On Private Computation in Incomplete Networks -- Traffic Grooming on the Path -- Range Augmentation Problems in Static Ad-Hoc Wireless Networks -- On the Approximability of the L(h,k)-Labelling Problem on Bipartite Graphs (Extended Abstract) -- A T…
Recursive Algorithms -- Subrecursive Algorithms -- Superrecursive Algorithms: Problems of Computability -- Superrecursive Algorithms: Problems of Efficiency -- Conclusion: Problems of Information Technology and Computer Science Development.New discoveries about algorithms are leading scientists beyond the Church-Turing Thesis, which governs the "algorithmic universe" and asserts the conventiona…
Parallel Job Scheduling — A Status Report -- Scheduling on the Top 50 Machines -- Parallel Computer Workload Modeling with Markov Chains -- Enhancements to the Decision Process of the Self-Tuning dynP Scheduler -- Reconfigurable Gang Scheduling Algorithm -- Time-Critical Scheduling on a Well Utilised HPC System at ECMWF Using Loadleveler with Resource Reservation -- Inferring the Topology and…
Mapping Problems with Finite-Domain Variables to Problems with Boolean Variables -- Mapping Problems with Finite-Domain Variables to Problems with Boolean Variables -- A SAT-Based Decision Procedure for the Boolean Combination of Difference Constraints -- An Algebraic Approach to the Complexity of Generalized Conjunctive Queries -- Incremental Compilation-to-SAT Procedures -- Resolve and Expand…