close
1.

電子ブック

EB
edited by Fuad Aleskerov, Boris Goldengorin, Panos M. Pardalos
出版情報: New York, NY : Springer New York : Imprint: Springer, 2014
シリーズ名: Springer Optimization and Its Applications ; 92
オンライン: http://dx.doi.org/10.1007/978-1-4939-0742-7
所蔵情報: loading…
目次情報: 続きを見る
Three and One Questions to Dr. B. Mirkin about Complexity Statistics (I. Mandel)
Section 1
A Polynomial Algorithm for a Class of 0-1 Fractional Programming Problems Involving Composite Functions, with an Application to Additive Clustering (P. Hansen, C. Meyer)
Experiments with a Non-Convex Variance-Based Clustering Criterion (R.F. Toso, E.V. Bauman, C.A. Kulikowski, I.B. Muchnik)
Strategy-Proof Location Functions on Finite Graphs (F.R. McMorris, H.M. Mulder, F.S. Roberts)
A Pseudo-Boolean Approach to the Market Graph Analysis by Means of the p-Median Model (B. Goldengorin, A. Kocheturov, P.M. Pardalos)
Clustering as an Approach to 3D Reconstruction Problems (S. Archangelski, I. Muchnik)
Selecting the Minkowski Exponent for Intelligent K-Means with Feature Weighting (R. Cordeiro de Amorim, B. Mirkin)
High Dimensional Data Classification (V. Pappu, P.M. Pardalos)
Algorithm FRiS-TDR for Generalized Classification of the Labeled, Semi-Labeled and Unlabeled Datasets (I.A. Borisova, N.G. Zagoruiko)
From Separating to Proximal Plane Classifiers: A Review (M.B. Ferraro, M.R. Guarracino)
A Note on the Effectiveness of the Least Squares Consensus Clustering (B. Mirkin, A. Shestakov)
Section 2
Single or Multiple Consensus for Linear Orders (A. Guenoche)
Choice Functions on Tree Quasi-Orders (R.C. Powers, F. McMorris)
Weak Hierarchies: a Central Clustering Structure (P. Bertrand, J. Diatta)
Some Observations on Oligarchies, Internal Direct Sums and Lattice Congruences (M.F. Janowitz)
Thinking Ultrametrically, Thinking p-Adically (F. Murtagh)
A New Algorithm for Inferring Hybridization Events Based on the Detection of Horizontal Gene Transfers (V. Makarenkov, A. Box, P. Legendre)
Section 3
Meaningless Statements in Landscape Ecology and Sustainable Environments (F. Roberts)
Nearest Neighbour in Least Squares Data Imputation Algorithms for Marketing Data (I. Wasito). An AST Method for Scoring String-to-Text Similarity in Semantic Text Analysis (K. Chernyak, B. Mirkin)
Improving Web Search Relevance with Learning Structure of Domain Concepts (B. Galitsky, B. Kovalerchuk)
Linear Regression via Elastic Net: Non-Enumerative Leave-One-Out Verification of Feature Selection (E. Chernousova, N. Razin, O. Krasotkina, V. Mottl, D. Windridge)
The Manipulability Index in the IANC Model (Y. Veselova)
Three and One Questions to Dr. B. Mirkin about Complexity Statistics (I. Mandel)
Section 1
A Polynomial Algorithm for a Class of 0-1 Fractional Programming Problems Involving Composite Functions, with an Application to Additive Clustering (P. Hansen, C. Meyer)
2.

電子ブック

EB
edited by Ilias S. Kotsireas, Panos M. Pardalos
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Theoretical Computer Science and General Issues ; 12096
オンライン: https://doi.org/10.1007/978-3-030-53552-0
所蔵情報: loading…
目次情報: 続きを見る
Optimization for Urban Air Mobility
A Matheuristic Algorithm for solving the Vehicle Routing Problem with Cross-Docking
Physical activity as a risk factor in the progression of Osteoarthritis: A machine learning perspective
QPTAS for the CVRP with a moderate number of routes in a metric space of any xed doubling dimension
Early detection of eating disorders through machine learning techniques
On Finding Minimum Cardinality Subset of Vectors with a Constraint on the Sum of Squared Euclidean Pairwise Distances
Practical Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks
A Class of Linear Programs Solvable by Coordinate-wise Minimization
Travel times equilibration procedure for route- flow traffic assignment problem
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms
Randomized Algorithms for Some Sequence Clustering Problems
Hyper-parameterized Dialectic Search for Non-Linear Box-constrained Optimization with Heterogenous Variable Types
Least Squares K-SVCR Multi-class Classification
Active learning based framework for image captioning corpus creation
Reducing space search in combinatorial optimization using machine learning tools
Impact of the Discretization of VOCs for Cancer Prediction using a Multi-Objective Algorithm
AUGMECON2 method for a bi-objective U-shaped assembly line balancing problem
Two-Channel Conflict-Free Square Grid Aggregation
Online Stacking using RL with Positional and Tactical Features
Power consumption estimation in data centers using machine learning techniques
Automated tuning of a column generation algorithm
Pool-based Realtime Algorithm Configuration: A Preselection Bandit Approach
A Memetic Approach for the Unicost Set Covering Problem
Dynamic Visual Few-Shot Learning through Parameter Prediction Network
An Alternating DCA-based Approach for Reduced-Rank Multitask Linear Regression with Covariance Estimation
PSO-based cooperative learning using chunking
The problem of the hospital surgery department debottlenecking
Learning Optimal Control of Water Distribution Networks through Sequential Model-based Optimization
Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization
A Pareto Simulated Annealing for the Integrated Problem of Berth and Quay Crane Scheduling at Maritime Container Terminals with Multiple Objectives and Stochastic Arrival Times of Vessels
HotelSimu: Simulation-based Optimization for Hotel Dynamic Pricing
Heuristic Search Strategies for Noisy Optimization
Uncertainty of efficient frontier in portfolio optimization
Learning to configure mathematical programming solvers by mathematical programming
Convex Hulls in Solving Multiclass Pattern Recognition Problem
Least Correntropic Loss Regression
Novelty Discovery with Kernel Minimum Enclosing Balls
DESICOM as Metaheuristic Search
Optimization for Urban Air Mobility
A Matheuristic Algorithm for solving the Vehicle Routing Problem with Cross-Docking
Physical activity as a risk factor in the progression of Osteoarthritis: A machine learning perspective