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1.

電子ブック

EB
edited by Nathalie Japkowicz, Stan Matwin
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9356
オンライン: http://dx.doi.org/10.1007/978-3-319-24282-8
目次情報: 続きを見る
Bilinear Prediction using Low Rank Models
Finding Hidden Structure in Data with Tensor Decompositions
Turning Prediction Tools Into Decision Tools
Overcoming obstacles to the adoption of machine learning by domain Experts
Resolution transfer in cancer classification based on amplification patterns
Very Short-Term Wind Speed Forecasting using Spatio-Temporal Lazy Learning
Discovery of Parameters for Animation of Midge Swarms
No Sentiment is an Island: Author's activity and sentiments transactions in sentiment classification
Active Learning for Classifying Template Matches in Historical Maps
An evaluation of score descriptors combined with non-linear models of expressive dynamics in music
Geo-Coordinated Parallel Coordinates (GCPC): A Case Study of Environmental Data Analysis
Generalized Shortest Path Kernel on Graphs
Ensembles of extremely randomized trees for multi-target regression
Clustering-Based Optimised Probabilistic Active Learning (COPAL)
Predictive Analysis on Tracking Emails for Targeted Marketing
Semi-supervised Learning for Stream Recommender Systems
Detecting Transmembrane Proteins Using Decision Trees
Change point detection for information diffusion tree
Multi-label Classification via Multi-target Regression on Data Streams
Periodical Skeletonization for Partially Periodic Pattern Mining
Predicting Drugs Adverse Side-Effects using a recommender-system
Dr. Inventor Framework: extracting structured information from scientific publications
Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel
Hierarchical Multidimensional Classification of web documents with MultiWebClass
Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets
On the Feasibility of Discovering Meta-Patterns from a Data Ensemble
An Algorithm for Influence Maximization in a Two-Terminal Series
Parallel Graph and Its Application to a Real Network
Benchmarking Stream Clustering for Churn Detection in Dynamic Networks
Canonical Correlation Methods for Exploring Microbe-Environment Interactions in Deep Subsurface
KeCo: Kernel-based Online Co-agreement Algorithm
Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees
Enumerating Maximal Clique Sets with Pseudo-Clique Constraint
Bilinear Prediction using Low Rank Models
Finding Hidden Structure in Data with Tensor Decompositions
Turning Prediction Tools Into Decision Tools
2.

電子ブック

EB
edited by Elisa Fromont, Tijl De Bie, Matthijs van Leeuwen
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9385
オンライン: http://dx.doi.org/10.1007/978-3-319-24465-5
目次情報: 続きを見る
Data analytics and optimization for assessing a ride sharing system
Constraint-Based Querying for Bayesian Network Exploration
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data
Segregation Discovery in a Social Network of Companies
A first+-order-logic based model for grounded language learning
A parallel distributed processing algorithm for image feature extraction
Modeling concept drift: A probabilistic graphical model based approach
Diversity-driven Widening of Hierarchical Agglomerative Clustering
Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering
Time Series Classification with Representation Ensembles
Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study
On Binary Reduction of Large-scale Multiclass Classification Problems
Probabilistic Active Learning in Data Streams
Implicitly Constrained Semi-Supervised Least Squares Classification
Diagonal Co-clustering Algorithm for Document-Word Partitioning
I-Louvain: an attributed graph clustering method
Class-based outlier detection: staying zombies or awaiting for resurrection?
Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels
Using entropy as a measure of acceptance for multi-label classification
Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps
Exploratory topic modeling with distributional semantics
Assigning Geo-Relevance of Sentiments Mined from Location-Based Social Media Posts
Continuous and Discrete Deep Classifiers for Data Integration
A Bayesian Approach for Identifying Multivariate Differences Between Groups
Automatically Discovering Offensive Patterns in Soccer Match Data
Fast Algorithm Selection using Learning Curves
Optimally Weighted Cluster Kriging for Big Data Regression
Slower can be faster: The iRetis incremental model tree learner
VoQs: A Web Application for Visualization of Questionnaire Surveys
Data analytics and optimization for assessing a ride sharing system
Constraint-Based Querying for Bayesian Network Exploration
Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data
3.

電子ブック

EB
edited by Abdelkader Hameurlain, Josef Kung, Roland Wagner, Hendrik Decker, Lenka Lhotska, Sebastian Link
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 8980
オンライン: http://dx.doi.org/10.1007/978-3-662-46485-4
目次情報: 続きを見る
Using Argumentation to Structure E-Participation in Policy Making
Horizontal Business Process Model Integration
Exact and Approximate Generic Multi-criteria Top-k Query Processing
Continuous Predictive Line Queries for On-the-Go Traffic Estimation
Query Operators for Comparing Uncertain Graphs
Fast Disjoint and Overlapping Community Detection
A Hybrid Approach Using Genetic Programming and Greedy Search for QoS-Aware Web Service Composition
Using Argumentation to Structure E-Participation in Policy Making
Horizontal Business Process Model Integration
Exact and Approximate Generic Multi-criteria Top-k Query Processing
4.

電子ブック

EB
edited by Jan Vitek
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9032
オンライン: http://dx.doi.org/10.1007/978-3-662-46669-8
目次情報: 続きを見る
Probabilistic Programs as Spreadsheet Queries
Static Analysis of Spreadsheet Applications for Type-Unsafe Operations Detection
Running Probabilistic Programs Backwards
A Verified Compiler for Probability Density Functions
Segment Abstraction for Worst-Case Execution Time Analysis
Automatic Static Cost Analysis for Parallel Programs
Sound, Modular and Compositional Verification of the Input/Output Behavior of Programs
Unrestricted Termination and Non-termination Arguments for Bit-Vector Programs. A Theory of Name Resolution
A Core Calculus for XQuery 3.0: Combining Navigational and Pattern Matching Approaches
IsoLate: A Type System for Self-recursion
The Problem of PL Concurrency Semantics
The Best of Both Worlds: Trading Efficiency and Optimality in Fence Insertion for TSO
Specifying and Verifying Concurrent Algorithms with Histories and Subjectivity
Witnessing (Co)datatypes
Making Random Judgments: Automatically Generating Well-Typed Terms from the Definition of a Type-System
Refinement Types for Incremental Computational Complexity
Monotonic References for Efficient Gradual Typing
Inter-procedural Two-Variable Herbrand Equalities
Desynchronized Multi-State Abstractions for Open Programs in Dynamic Languages
Fine-Grained Detection of Privilege Escalation Attacks on Browser Extensions
Analysis of Asynchronous Programs with Event-Based Synchronization
A Semantics for Propositions as Sessions
Composite Replicated Data Types
Relaxed Stratification: A New Approach to Practical Complete Predicate Refinement
Spatial Interpolants
Propositional Reasoning about Safety and Termination of Heap-Manipulating Programs
Full Reduction in the Face of Absurdity
CoLoSL: Concurrent Local Subjective Logic
A Separation Logic for Fictional Sequential Consistency
Binding Structures as an Abstract Data Type
Type-Based Allocation Analysis for Co-recursion in Lazy Functional Languages
Type Targeted Testing
Probabilistic Programs as Spreadsheet Queries
Static Analysis of Spreadsheet Applications for Type-Unsafe Operations Detection
Running Probabilistic Programs Backwards
5.

電子ブック

EB
edited by Francesco Masulli, Alfredo Petrosino, Stefano Rovetta
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 7627
オンライン: http://dx.doi.org/10.1007/978-3-662-48577-4
6.

電子ブック

EB
edited by Giuseppe Amato, Richard Connor, Fabrizio Falchi, Claudio Gennaro
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9371
オンライン: http://dx.doi.org/10.1007/978-3-319-25087-8
7.

電子ブック

EB
edited by Paul Johannesson, Mong Li Lee, Stephen W. Liddle, Andreas L. Opdahl, Oscar Pastor Lopez
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9381
オンライン: http://dx.doi.org/10.1007/978-3-319-25264-3
8.

電子ブック

EB
edited by Tran Khanh Dang, Roland Wagner, Josef Kung, Nam Thoai, Makoto Takizawa, Erich Neuhold
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9446
オンライン: http://dx.doi.org/10.1007/978-3-319-26135-5
9.

電子ブック

EB
edited by Abdelkader Hameurlain, Josef Kung, Roland Wagner, Ladjel Bellatreche, Mukesh Mohania
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 8970
オンライン: http://dx.doi.org/10.1007/978-3-662-46335-2
目次情報: 続きを見る
Data Warehouse Processing Scale-Up for Massive Concurrent Queries with SPIN
An Uncoupled Data Process and Transfer Model for Map Reduce
Enhanced Fast Causal Network Inference over Event Streams
Learning Through Non-linearly Supervised Dimensionality Reduction
Metrics for Association Rule Clustering Assessment
Data Warehouse Processing Scale-Up for Massive Concurrent Queries with SPIN
An Uncoupled Data Process and Transfer Model for Map Reduce
Enhanced Fast Causal Network Inference over Event Streams
10.

電子ブック

EB
edited by Aasa Feragen, Marcello Pelillo, Marco Loog
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Computer Science ; 9370
オンライン: http://dx.doi.org/10.1007/978-3-319-24261-3
目次情報: 続きを見る
A Novel Data Representation based on a Second-Order Dissimilarity Measure
Characterizing Multiple Instance Datasets
Supervised learning of diffiusion distance to improve histogram matching
Similarity Analysis from Limiting Quantum Walks
Introducing Negative Evidence in Ensemble Clustering
Dissimilarity representations for low-resolution face recognition
Deep metric learning using Triplet network
Cluster Merging Based on Dominant Sets
An Adaptive Radial Basis Function Kernel for Support Vector Data Description
Robust initialization for learning Latent Dirichlet Allocation
Unsupervised Motion Segmentation Using Metric Embedding of Features
Transitive Assignment Kernels for Structural Classification
Large scale Indefinite Kernel Fisher Discriminant
Similarity-based User Identification across Social Networks
Dominant-Set Clustering Using Multiple Affinity Matrices
Distance-Based Network Recovery under Feature Correlation
Discovery of salient low-dimensional dynamical structure using Hopfield Networks
On Geodesic Exponential Kernels
A Matrix Factorization Approach to Graph Compression
A Geometrical Approach to Find Corresponding Patches in 3D Medical Surfaces
Similarities, SDEs, and Most Probable Paths
Can the optimum similarity matrix be selected before clustering for graph-based approaches?
Approximate spectral clustering with utilized similarity information fusing geodesic based hybrid distance measures
A Novel Data Representation based on a Second-Order Dissimilarity Measure
Characterizing Multiple Instance Datasets
Supervised learning of diffiusion distance to improve histogram matching