| Description |
1 online resource (xlvi, 689 pages) : illustrations |
| Series |
Lecture Notes in Computer Science, 0302-9743 |
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Lecture notes in artificial intelligence ; 8190 |
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LNCS sublibrary. SL 7, Artificial intelligence |
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Lecture notes in computer science, 0302-9743
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Lecture notes in computer science. Lecture notes in artificial intelligence ; 8190
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LNCS sublibrary. SL 7, Artificial intelligence.
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| Contents |
Ensembles. AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy / Baidya Nath Saha ... et al. -- Parallel Boosting with Momentum / Indraneel Mukherjee ... et al. -- Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm / Houman Abbasian ... et al. -- Statistical Learning. Learning Discriminative Sufficient Statistics Score Space for Classification / Xiong Li ... et al. -- The Stochastic Gradient Descent for the Primal L1-SVM Optimization Revisited / Constantinos Panagiotakopoulos, Petroula Tsampouka -- Bundle CDN: A Highly Parallelized Approach for Large-Scale ℓ1-Regularized Logistic Regression / Yatao Bian ... et al. -- MORD: Multi-class Classifier for Ordinal Regression / Kostiantyn Antoniuk, Vojtěch Franc, Václav Hlaváč -- Identifiability of Model Properties in Over-Parameterized Model Classes / Manfred Jaeger |
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Semi-supervised Learning. Exploratory Learning / Bhavana Dalvi, William W. Cohen, Jamie Callan -- Semi-supervised Gaussian Process Ordinal Regression / P.K. Srijith, Shirish Shevade, S. Sundararajan -- Influence of Graph Construction on Semi-supervised Learning / Celso André R. de Sousa, Solange O. Rezende, Gustavo E.A.P.A. Batista -- Tractable Semi-supervised Learning of Complex Structured Prediction Models / Kai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi -- PSSDL: Probabilistic Semi-supervised Dictionary Learning / Behnam Babagholami-Mohamadabadi, Ali Zarghami, Mohammadreza Zolfaghari -- Unsupervised Learning. Embedding with Autoencoder Regularization / Wenchao Yu ... et al. -- Reduced-Rank Local Distance Metric Learning / Yinjie Huang ... et al. -- Learning Exemplar-Represented Manifolds in Latent Space for Classification / Shu Kong, Donghui Wang -- Locally Linear Landmarks for Large-Scale Manifold Learning / Max Vladymyrov, Miguel Á. Carreira-Perpiñán |
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Subgroup Discovery, Outlier Detection and Anomaly Detection. Discovering Skylines of Subgroup Sets / Matthijs van Leeuwen, Antti Ukkonen -- Difference-Based Estimates for Generalization-Aware Subgroup Discovery / Florian Lemmerich, Martin Becker, Frank Puppe -- Local Outlier Detection with Interpretation / Xuan Hong Dang ... et al. -- Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines / Marco Stolpe ... et al. -- Mining Outlier Participants: Insights Using Directional Distributions in Latent Models / Didi Surian, Sanjay Chawla -- Privacy and Security. Anonymizing Data with Relational and Transaction Attributes / Giorgos Poulis ... et al. -- Privacy-Preserving Mobility Monitoring Using Sketches of Stationary Sensor Readings / Michael Kamp ... et al. -- Evasion Attacks against Machine Learning at Test Time / Battista Biggio ... et al |
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Data Mining and Constraint Solving. The Top-k Frequent Closed Itemset Mining Using Top-k SAT Problem / Said Jabbour, Lakhdar Sais, Yakoub Salhi -- A Declarative Framework for Constrained Clustering / Thi-Bich-Hanh Dao, Khanh-Chuong Duong, Christel Vrain -- SNNAP: Solver-Based Nearest Neighbor for Algorithm Portfolios / Marco Collautti ... et al. -- Evaluation. Area under the Precision-Recall Curve: Point Estimates and Confidence Intervals / Kendrick Boyd, Kevin H. Eng, C. David Page -- Applications. Incremental Sensor Placement Optimization on Water Network / Xiaomin Xu ... et al. -- Detecting Marionette Microblog Users for Improved Information Credibility / Xian Wu ... et al. -- Will My Question Be Answered? Predicting "Question Answerability" in Community Question-Answering Sites / Gideon Dror, Yoelle Maarek, Idan Szpektor -- Learning to Detect Patterns of Crime / Tong Wang ... et al. -- Space Allocation in the Retail Industry: A Decision Support System Integrating Evolutionary Algorithms and Regression Models / Fábio Pinto, Carlos Soares |
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Medical Applications. Forest-Based Point Process for Event Prediction from Electronic Health Records / Jeremy C. Weiss, David Page -- On Discovering the Correlated Relationship between Static and Dynamic Data in Clinical Gait Analysis / Yin Song ... et al. -- Computational Drug Repositioning by Ranking and Integrating Multiple Data Sources / Ping Zhang, Pankaj Agarwal, Zoran Obradovic -- Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift Modeling / Houssam Nassif ... et al. -- Nectar Track. A Theoretical Framework for Exploratory Data Mining: Recent Insights and Challenges Ahead / Tijl De Bie, Eirini Spyropoulou -- Tensor Factorization for Multi-relational Learning / Maximilian Nickel, Volker Tresp -- MONIC and Followups on Modeling and Monitoring Cluster Transitions / Myra Spiliopoulou ... et al. -- Towards Robot Skill Learning: From Simple Skills to Table Tennis / Jan Peters ... et al. -- Functional MRI Analysis with Sparse Models / Irina Rish |
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Demo Track. Image Hub Explorer: Evaluating Representations and Metrics for Content-Based Image Retrieval and Object Recognition / Nenad Tomašev, Dunja Mladenić -- Ipseity -- A Laboratory for Synthesizing and Validating Artificial Cognitive Systems in Multi-agent Systems / Fabrice Lauri ... et al. -- OpenML: A Collaborative Science Platform / Jan N. van Rijn ... et al. -- ViperCharts: Visual Performance Evaluation Platform / Borut Sluban, Nada Lavrač -- Entityclassifier.eu: Real-Time Classification of Entities in Text with Wikipedia / Milan Dojchinovski, Tomáš Kliegr -- Hermoupolis: A Trajectory Generator for Simulating Generalized Mobility Patterns / Nikos Pelekis ... et al. -- AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data / Michele Berlingerio ... et al. -- ScienScan -- An Efficient Visualization and Browsing Tool for Academic Search / Daniil Mirylenka, Andrea Passerini -- InVis: A Tool for Interactive Visual Data Analysis / Daniel Paurat, Thomas Gärtner -- Kanopy: Analysing the Semantic Network around Document Topics / Ioana Hulpuş ... et al. -- SCCQL : A Constraint-Based Clustering System / Antoine Adam ... et al |
| Summary |
This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications |
| Analysis |
computerwetenschappen |
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computer sciences |
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waarschijnlijkheid |
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probability |
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statistiek |
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statistics |
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wiskunde |
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mathematics |
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patroonherkenning |
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pattern recognition |
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informatieontsluiting |
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information retrieval |
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informatieopslag |
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information storage |
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kunstmatige intelligentie |
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artificial intelligence |
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datamining |
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data mining |
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Information and Communication Technology (General) |
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Informatie- en communicatietechnologie (algemeen) |
| Notes |
Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed September 3, 2013) |
| Subject |
Machine learning -- Congresses
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Data mining -- Congresses
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Data mining.
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Artificial intelligence.
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Data Mining
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Artificial Intelligence
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artificial intelligence.
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Artificial intelligence
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Data mining
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Machine learning
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Blockeel, Hendrik, editor
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| ISBN |
9783642409943 |
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3642409946 |
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