MLJ 2015

77 papers

A Bayesian Approach for Comparing Cross-Validated Algorithms on Multiple Data Sets Giorgio Corani, Alessio Benavoli

A Computational Approach to Nonparametric Regression: Bootstrapping CMARS Method Ceyda Yazici, Fatma Yerlikaya-Özkurt, Inci Batmaz

A Decomposition of the Outlier Detection Problem into a Set of Supervised Learning Problems Heiko Paulheim, Robert Meusel

A Flexible Cluster-Oriented Alternative Clustering Algorithm for Choosing from the Pareto Front of Solutions Duy Tin Truong, Roberto Battiti

A Framework to Uncover Multiple Alternative Clusterings Xuan-Hong Dang, James Bailey

A Generalized Online Mirror Descent with Applications to Classification and Regression Francesco Orabona, Koby Crammer, Nicolò Cesa-Bianchi

A Unified Statistical Approach to Non-Negative Matrix Factorization and Probabilistic Latent Semantic Indexing Karthik Devarajan, Guoli Wang, Nader Ebrahimi

Adaptive Euclidean Maps for Histograms: Generalized Aitchison Embeddings Tam Le, Marco Cuturi

Additive Regularization of Topic Models Konstantin V. Vorontsov, Anna Potapenko

An Efficient Primal Dual Prox Method for Non-Smooth Optimization Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu

An Incremental Piecewise Linear Classifier Based on Polyhedral Conic Separation Gürkan Öztürk, Adil M. Bagirov, Refail Kasimbeyli

Analysis of Network Traffic Features for Anomaly Detection Félix Iglesias, Tanja Zseby

Asymptotic Analysis of Estimators on Multi-Label Data Andreas P. Streich, Joachim M. Buhmann

Asymptotic Analysis of the Learning Curve for Gaussian Process Regression Loïc Le Gratiet, Josselin Garnier

Asymptotic Stability of Equilibrium Points of Mean Shift Algorithm Youness Aliyari Ghassabeh

Bandit-Based Monte-Carlo Structure Learning of Probabilistic Logic Programs Nicola Di Mauro, Elena Bellodi, Fabrizio Riguzzi

Committee Polyhedral Separability: Complexity and Polynomial Approximation Michael Yu. Khachay

Comparative Study of Matrix Refinement Approaches for Ensemble Clustering Natthakan Iam-on, Tossapon Boongoen

Consensus Hashing Cong Leng, Jian Cheng

Convex Relaxations of Penalties for Sparse Correlated Variables with Bounded Total Variation Eugene Belilovsky, Andreas Argyriou, Gaël Varoquaux, Matthew B. Blaschko

Day Trading Profit Maximization with Multi-Task Learning and Technical Analysis Zsolt Bitvai, Trevor Cohn

DEARank: A Data-Envelopment-Analysis-Based Ranking Method Chunheng Jiang, Wenbin Lin

Direct Conditional Probability Density Estimation with Sparse Feature Selection Motoki Shiga, Voot Tangkaratt, Masashi Sugiyama

Editorial of the Special Issue Data Analysis and Intelligent Optimization with Applications Vadim V. Strijov, Gerhard-Wilhelm Weber, Richard Weber, Süreyya Özögür-Akyüz

Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD) Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu

Efficient F Measure Maximization via Weighted Maximum Likelihood Georgi Dimitroff, Georgi Georgiev, Laura Tolosi, Borislav Popov

Efficient Inference and Learning in a Large Knowledge Base - Reasoning with Extracted Information Using a Locally Groundable First-Order Probabilistic Logic William Yang Wang, Kathryn Mazaitis, Ni Lao, William W. Cohen

Enriched Spatial Comparison of Clusterings Through Discovery of Deviating Subspaces Eric Bae, James Bailey

Entropic Risk Minimization for Nonparametric Estimation of Mixing Distributions Kazuho Watanabe, Shiro Ikeda

Evaluation Methods and Decision Theory for Classification of Streaming Data with Temporal Dependence Indre Zliobaite, Albert Bifet, Jesse Read, Bernhard Pfahringer, Geoff Holmes

Expectation Propagation in Linear Regression Models with Spike-and-Slab Priors José Miguel Hernández-Lobato, Daniel Hernández-Lobato, Alberto Suárez

Feature Selection in Machine Learning: An Exact Penalty Approach Using a Difference of Convex Function Algorithm Hoai An Le Thi, Le Hoai Minh, Tao Pham Dinh

Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side Knowledge Theja Tulabandhula, Cynthia Rudin

Generalized Gradient Learning on Time Series Brijnesh J. Jain

Generalized Twin Gaussian Processes Using Sharma-Mittal Divergence Mohamed Elhoseiny, Ahmed M. Elgammal

Gradient-Based Boosting for Statistical Relational Learning: The Markov Logic Network and Missing Data Cases Tushar Khot, Sriraam Natarajan, Kristian Kersting, Jude W. Shavlik

Greedy Learning of Latent Tree Models for Multidimensional Clustering Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen, April Hua Liu, Leonard K. M. Poon, Yi Wang

Half-Space Mass: A Maximally Robust and Efficient Data Depth Method Bo Chen, Kai Ming Ting, Takashi Washio, Gholamreza Haffari

Improving Classification Performance Through Selective Instance Completion Amit Dhurandhar, Karthik Sankaranarayanan

Incremental Learning of Event Definitions with Inductive Logic Programming Nikos Katzouris, Alexander Artikis, Georgios Paliouras

Information Retrieval Approach to Meta-Visualization Jaakko Peltonen, Ziyuan Lin

Learning from Evolving Video Streams in a Multi-Camera Scenario Samaneh Khoshrou, Jaime S. Cardoso, Luís Filipe Teixeira

Learning Relational Dependency Networks in Hybrid Domains Irma Ravkic, Jan Ramon, Jesse Davis

Lifted Graphical Models: A Survey Angelika Kimmig, Lilyana Mihalkova, Lise Getoor

Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning Zhouchen Lin, Risheng Liu, Huan Li

Measuring the Accuracy of Currency Crisis Prediction with Combined Classifiers in Designing Early Warning System Nor Azuana Ramli, Mohd Tahir Ismail, Hooy Chee Wooi

Meta-Interpretive Learning of Higher-Order Dyadic Datalog: Predicate Invention Revisited Stephen H. Muggleton, Dianhuan Lin, Alireza Tamaddoni-Nezhad

Metacluster-Based Projective Clustering Ensembles Francesco Gullo, Carlotta Domeniconi, Andrea Tagarelli

Minimum Message Length Estimation of Mixtures of Multivariate Gaussian and Von Mises-Fisher Distributions Parthan Kasarapu, Lloyd Allison

Model Selection in Multivariate Adaptive Regression Splines (MARS) Using Information Complexity as the Fitness Function Elçin Kartal-Koç, Hamparsum Bozdogan

MultiClust Special Issue on Discovering, Summarizing and Using Multiple Clusterings Emmanuel Müller, Ira Assent, Stephan Günnemann, Thomas Seidl, Jennifer G. Dy

Multilabel Classification Through Random Graph Ensembles Hongyu Su, Juho Rousu

Operator-Valued Kernel-Based Vector Autoregressive Models for Network Inference Néhémy Lim, Florence d'Alché-Buc, Cédric Auliac, George Michailidis

Optimised Probabilistic Active Learning (OPAL) - For Fast, Non-Myopic, Cost-Sensitive Active Classification Georg Krempl, Daniel Kottke, Vincent Lemaire

Optimizing Regression Models for Data Streams with Missing Values Indre Zliobaite, Jaakko Hollmén

Poisson Dependency Networks: Gradient Boosted Models for Multivariate Count Data Fabian Hadiji, Alejandro Molina, Sriraam Natarajan, Kristian Kersting

Policy Gradient in Lipschitz Markov Decision Processes Matteo Pirotta, Marcello Restelli, Luca Bascetta

Probabilistic (logic) Programming Concepts Luc De Raedt, Angelika Kimmig

Probabilistic Clustering of Time-Evolving Distance Data Julia E. Vogt, Marius Kloft, Stefan Stark, Sudhir Raman, Sandhya Prabhakaran, Volker Roth, Gunnar Rätsch

Probabilistic Combination of Classification Rules and Its Application to Medical Diagnosis Jakub M. Tomczak, Maciej Zieba

Probabilistic Consensus Clustering Using Evidence Accumulation André Lourenço, Samuel Rota Bulò, Nicola Rebagliati, Ana L. N. Fred, Mário A. T. Figueiredo, Marcello Pelillo

Pruning of Error Correcting Output Codes by Optimization of Accuracy-Diversity Trade Off Süreyya Özögür-Akyüz, Terry Windeatt, Raymond S. Smith

Random Drift Particle Swarm Optimization Algorithm: Convergence Analysis and Parameter Selection Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi

Random Projections as Regularizers: Learning a Linear Discriminant from Fewer Observations than Dimensions Robert J. Durrant, Ata Kabán

Regularized Feature Selection in Reinforcement Learning Dean S. Wookey, George Dimitri Konidaris

Selective Switching Mechanism in Virtual Machines via Support Vector Machines and Transfer Learning Wei Kuang, Laura E. Brown, Zhenlin Wang

Soft-Max Boosting Matthieu Geist

Stochastic Feature Mapping for PAC-Bayes Classification Xiong Li, Bin Wang, Yuncai Liu, Tai Sing Lee

Subjectively Interesting Alternative Clusterings Kleanthis-Nikolaos Kontonasios, Tijl De Bie

The Blind Men and the Elephant: On Meeting the Problem of Multiple Truths in Data from Clustering and Pattern Mining Perspectives Arthur Zimek, Jilles Vreeken

The Effect of Splitting on Random Forests Hemant Ishwaran

Triadic Formal Concept Analysis and Triclustering: Searching for Optimal Patterns Dmitry I. Ignatov, Dmitry V. Gnatyshak, Sergei O. Kuznetsov, Boris G. Mirkin

Two-Level Quantile Regression Forests for Bias Correction in Range Prediction Thanh-Tung Nguyen, Joshua Zhexue Huang, Thuy Thi Nguyen

Unconfused Ultraconservative Multiclass Algorithms Ugo Louche, Liva Ralaivola

Unsupervised Ensemble Minority Clustering Edgar Gonzàlez, Jordi Turmo

Unsupervised Feature Selection with Ensemble Learning Haytham Elghazel, Alex Aussem

Using Causal Discovery for Feature Selection in Multivariate Numerical Time Series Youqiang Sun, Jiuyong Li, Jixue Liu, Christopher W. K. Chow, Bing-Yu Sun, Rujing Wang