A Relevance Criterion for Sequential Patterns |
Henrik Grosskreutz, Bastian Lang, and Daniel Trabold |
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Using Both Latent and Supervised Shared Topics for Multitask Learning |
Ayan Acharya, Aditya Rawal, Eduardo Hruschka, and Raymond Mooney |
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Mixtures of Large Margin Nearest Neighbor Classifiers |
Murat Semerci, and Ethem Alpaydin |
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Exploratory Learning |
Bhavana Dalvi, William Cohen, and Jamie Callan |
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Learning Exemplar-Represented Manifolds in Latent Space for Classification |
Shu Kong and Donghui Wang |
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Incremental Sensor Placement Optimization on Water Network |
Xiaomin Xu, Yiqi Lu, Sheng Huang, Yanghua Xiao, and Wei Wang |
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Hub Co-occurrence Modeling for Robust High-dimensional kNN Classification |
Nenad Tomasev and Dunja Mladenic |
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Noisy Matrix Completion Using Alternating Minimization |
Suriya Gunasekar, Ayan Acharya, Neeraj Gaur and Joydeep Ghosh |
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Community Distribution Outlier Detection in Heterogeneous Information Networks |
Manish Gupta, Jing Gao, and Jiawei Han |
Implementation |
How robust is the core of a network? |
Abhijin Adiga and Anil Vullikanti |
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Mining Outlier Participants: Insights Using Directional Distributions in Latent Models |
Didi Surian and Sanjay Chawla |
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A Layered Dirichlet Process for Hierarchical Segmentation of Sequential Grouped Data |
Adway Mitra, Ranganath B.N., and Indrajit Bhattacharya |
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Knowledge Transfer for Multi-Labeler Active Learning |
Meng Fang, Jie Yin, and Xingquan Zhu |
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A fast and simple method for mining subsequences with surprising event counts |
Jefrey Lijffijt |
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Supervised Learning of Syntactic Contexts for Uncovering Definitions and Extracting Hypernym Relations in Text Databases |
Guido Boella and Luigi Di Caro |
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Incremental Local Evolutionary Outlier Detection for Dynamic Social Networks |
Tengfei Ji, Jun Gao, and Dongqing Yang |
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Forest-Based Point Process for Event Prediction from Electronic Health Records |
Jeremy Weiss, Michael Caldwell, and David Page |
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Locally Linear Landmarks for Large-Scale Manifold Learning |
Max Vladymyrov and Miguel Carreira-Perpinan |
Implementation |
Top-k Frequent Closed Itemset Mining Using Top-k SAT Problem |
Said Jabbour, Lakhdar Sais, and Yakoub Salhi |
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Relevant Subsequence Detection with Sparse Dictionary Learning |
Sam Blasiak, Huzefa Rangwala,and Kathryn Laskey |
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From Topic Models to Semi-Supervised Learning: Biasing Mixed-membership Models to Exploit Topic-Indicative Features in Entity Clustering |
Ramnath Balasubramanyan, William Cohen, and Bhavana Dalvi |
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Learning Throttle Valve Control Using Policy Search |
Bastian Bischoff, Duy Nguyen-Tuong, Torsten Koller, Heiner Markert, and Alois Knoll |
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A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization |
Ali Jalali, Javad Azimi, Xiaoli Fern, and Ruofei Zhang |
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Explaining Interval Sequences by Randomization |
Andreas Henelius, Jussi Korpela, and Kai Puolamaki |
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Fault tolerant regression for sensor data |
Indre Zliobaite, and Jaakko Hollmén |
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Pitfalls in benchmarking data stream classification and how to avoid them |
Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, and Geoff Holmes |
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Embedding with Autoencoder Regularization |
Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, and Zhongzhi Shi |
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Boosting for Unsupervised Domain Adaptation |
Amaury Habrard, Jean-Philippe Peyrache, and Marc Sebban |
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SNNAP: Solver-based Nearest Neighbor for Algorithm Portfolios |
Marco Collautti, Yuri Malitsky, and Barry O’Sullivan |
Implementation |
Fast Variational Bayesian Linear State-Space Model |
Jaakko Luttinen |
Implementation |
Discovering Skylines of Subgroup Sets |
Matthijs van Leeuwen and Antti Ukkonen |
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A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank |
Hongyang Zhang, Zhouchen Lin, and Chao Zhang |
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A Nearly Unbiased Matrix Completion Approach |
Dehua Liu, Tengfei Zhou, Hui Qian, Congfu Xu, and Zhihua Zhang |
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Local Outlier Detection with Interpretation |
Xuan-Hong Dang, Barbora Micenkova, Ira Assent, and Raymond T. Ng |
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Semi-supervised Gaussian Process Ordinal Regression |
Srijith P. K., Shirish Shevade, and Sundararajan S. |
Implementation |
Detecting Marionette Microblog Users for Improved Information Credibility |
Xian Wu, Ziming Feng, Wei Fan, Jing Gao, and Yong Yu |
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Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models |
Shuo Yang and Sriraam Natarajan |
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Expectation maximization for average reward decentralized POMDPs |
Joni Pajarinen and Jaakko Peltonen |
Implementation |
How long will she call me? Distribution |
Yuxiao Dong, Jie Tang, Tiancheng Lou, Bin Wu, and Nitesh Chawla |
Implementation |
Position Preserving Multi-Output Prediction |
Zubin Abraham and Pang-Ning Tan |
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Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines |
Marco Stolpe, Kanishka Bhaduri, Kamalika Das, and Katharina Morik |
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PSSDL : Probabilistic Semi-Supervised Dictionary Learning |
Behnam Babagholami-Mohamadabadi, Ali Zarghami, Mohammadreza Zolfaghari, and Mahdieh Soleymani Baghshah |
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A declarative framework for Constrained Clustering |
Thi-Bich-Hanh Dao, Khanh-Chuong Duong, and Christel Vrain |
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Adaptive Model Rules from Data Streams |
Ezilda Almeida, Carlos Ferreira, and Joao Gama |
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The Stochastic Gradient Descent for the Primal L1-SVM Optimization Revisited |
Constantinos Panagiotakopoulos and Petroula Tsampouka |
Implementation |
Prediction with Model-based Neutrality |
Kazuto Fukuchi, Jun Sakuma, and Toshihiro Kamishima |
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Discovering Nested Communities |
Nikolaj Tatti and Aristides Gionis |
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Sparse Relational Topic Models for Document Networks |
Aonan Zhang, Jun Zhu, and Bo Zhang |
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Learning Socially Optimal Information Systems from Egoistic Users |
Karthik Raman and Thorsten Joachims |
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Greedy Confidence Pursuit: A Pragmatic Approach to Multi-Bandit Optimization |
Philip Bachman and Doina Precup |
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Protein Function Prediction using Dependence Maximization |
Guoxian Yu, Carlotta Demoniconi, Huzefa Rangwala, and Guoji Zhang |
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Solving Relational MDPs with Exogenous Events and Additive Rewards |
Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, and Alan Fern |
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Nested Hierarchical Dirichlet Process for Nonparametric Entity-Topic Analysis |
Priyanka Agrawal, Lavanya Tekumalla, and Indrajit Bhattacharya |
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Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation |
Song Liu, John Quinn, Michael Gutmann, and Masashi Sugiyama |
Implementation |
AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy |
Baidya Nath Saha, Gautam Kunapuli, Nilanjan Ray, Joseph Maldjian, and Sriraam Natarajan |
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Decision-theoretic Sparsification for Gaussian Process Preference Learning |
Ehsan Abbasnejad, Edwin Bonilla, and Scott Sanner |
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An Analysis of Tensor Models for Learning on Structured Data |
Maximilian Nickel and Volker Tresp |
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Inhomogeneous Parsimonious Markov Models |
Ralf Eggeling, Andre Gohr, Pierre-Yves Bourguignon, Edgar Wingender, and Ivo Grosse |
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Fast and Exact Mining of Probabilistic Data Streams |
Reza Akbarinia and Florent Masseglia |
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Learning Modewise Independent Components from Tensor Data Using Multilinear Mixing Model |
Haiping Lu |
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Shared Structure Learning for Multiple Tasks with Multiple Views |
Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, and Zhongzhi Shi |
Implementation |
Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions |
Rodrigo Barros, Ricardo Cerri, Alex Freitas, and Andre Carvalho |
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Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures |
KONSTANTINOS BOUSMALIS, Stefanos Zafeiriou, Louis-Philippe Morency, Maja Pantic, and Zoubin Ghahramani |
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Identifiability of Model Properties in Over-Parameterized Model Classes |
Manfred Jaeger |
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Will my Question be Answered? Predicting “Question Answerability” in Community Question-Answering Sites |
Gideon Dror, Yoelle Maarek, and Idan Szpektor |
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Continuous Similarity Computation over Streaming Graphs |
Elena Valari and Apostolos Papadopoulos |
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Improving relational classification using link prediction techniques |
Cristina Pérez-Solà and Jordi Herrera-Joancomartí |
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Trend Mining in Dynamic Attributed Graphs |
Elise Desmier, Marc Plantevit, Celine Robardet and Jean-Francois Boulicaut |
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Properly Acting under Partial Observability with Action Feasibility Constraints |
Caroline Carvalho Chanel and Florent Teichteil-Königsbuch |
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Sparsity in Bayesian Blind Source Separation and Deconvolution |
Václav Šmídl and Ondřej Tichý |
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Learning from demonstrations: Is it worth estimating a reward function? |
Bilal Piot, Matthieu Geist, and Olivier Pietquin |
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On Discovering the Correlated Relationship between Static and Dynamic Data in Clinical Gait Analysis |
Yin Song, Jian Zhang, Longbing Cao, and Morgan Sangeux |
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Efficient Frequent Connected Induced Subgraph Mining in Graphs of Bounded Treewidth |
Tamas Horvath, Keisuke Otaki, and Jan Ramon |
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CSI: Community-level Social Influence analysis |
Yasir Mehmood, Nicola Barbieri, Francesco Bonchi, and Antti Ukkonen |
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Socially Enabled Preference Learning from Implicit feedback data |
Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, and Stephane Canu |
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Bundle CDN: A Highly Parallelized Approach for Large-scale L1-regularized Logistic Regression |
Yatao Bian, Xiong Li, mingqi Cao, and Yuncai Liu |
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Cross-Domain Recommendation via Cluster-Level Latent Factor Model |
Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinar, and Jun Guo |
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Difference-based Estimates for Generalization-Aware Subgroup Discovery |
Florian Lemmerich, Martin Becker, and Frank Puppe |
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Structured Output Learning with Candidate Labels for Local Parts |
Chengtao Li, Jianwen Zhang, and Zheng Chen |
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Error Prediction With Partial Feedback |
William Darling, Guillaume Bouchard, shachar Mirkin, and Cedric Archambeau |
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Regret Bounds for Reinforcement Learning with Policy Advice |
Mohammad Azar, Alessandro Lazaric, and Emma Brunskill |
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Continuous Upper Confidence Trees with Polynomial Exploration – Consistency |
Adrien Couetoux, David Auger, Olivier Teytaud |
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Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration |
Emile Contal, David Buffoni, Alexandre Robicquet, and Nicolas Vayatis |
Implementation |
A Fast Approximation of the Weisfeiler-Lehman Graph Kernel for RDF Data |
Gerben De Vries |
Implementation |
Recognition of Agents based on Observation of Their Sequential Behavior |
Qifeng Qiao and Peter Beling |
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Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift Modeling |
Houssam Nassif, Finn Kuusisto, Elizabeth Burnside, David Page, Jude Shavlik, and Vitor Santos Costa |
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Model-Selection for Non-Parametric Function Approximation in Continuous Control Problems: A Case Study in a Smart Energy System |
Daniel Urieli and Peter Stone |
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Reduced-Rank Local Distance Metric Learning |
Yinjie Huang, Cong Li, Michael Georgiopoulos, and Georgios Anagnostopoulos |
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A Time and Space Efficient Algorithm for Contextual Linear Bandits |
Jose Bento, Stratis Ioannidis, S Muthukrishnan, and Jinyun Yan |
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Greedy Part-Wise Learning of Sum-Product Networks |
Robert Peharz, Bernhard Geiger, and Franz Pernkopf |
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Privacy-Preserving Mobility Monitoring using Sketches of Stationary Sensor Readings |
Michael Kamp, Christine Kopp, Michael Mock, Mario Boley, and Michael May |
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Learning to Detect Patterns of Crime |
Tong Wang, Cynthia Rudin, Dan Wagner, and Rich Sevieri |
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Influence of Graph Construction on Semi-supervised Learning |
Celso André De Sousa, Gustavo Batista, and Solange Rezende |
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Detecting Bicliques in GF[q] |
Jan Ramon, Pauli Miettinen, and Jilles Vreeken |
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Area Under the Precision-Recall Curve: Point Estimates and Confidence Intervals |
Kendrick Boyd, Kevin Eng, and David Page |
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Evasion attacks against machine learning at test time |
Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, and Fabio Roli |
Implementation |
Parallel Boosting with Momentum |
Indraneel Mukherjee, Yoram Singer, Rafael Frongillo, and Kevin Canini |
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MORD: Multi-class classifier for Ordinal Regression |
Konstiantyn Antoniuk, Vojtech Franc, and Vaclav Hlavac |
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Exploiting Multi-Step Sample Trajectories for Approximate Value Iteration |
Robert Wright, Lei Yu, Steven Loscalzo, and Philip Dexter |
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Tractable Semi-Supervised Learning of Complex Structured Prediction Models |
Kai-Wei Chang, Sundararajan S., and Sathiya Keerthi |
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Multi-core Structural SVM Training |
Kai-Wei Chang, Vivek srikumar, and Dan Roth |
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Multi-label Classification with Output Kernels |
Yuhong Guo and Dale Schuurmans |
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Boot-Strapping Language Identifiers for Short Colloquial Postings |
Moises Goldszmidt, Marc Najork, and Stelios Paparizos |
Implementation |
Space Allocation in the Retail Industry: A Decision Support System Integrating Evolutionary Algorithms and Regression Models |
Fábio Pinto and Carlos Soares |
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Efficient Rank-one Residue Approximation Method for Graph Regularized Non-negative Matrix Factorization |
Qing LIAO and Qian Zhang |
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Computational Drug Repositioning by Ranking and Integrating Multiple Data Sources |
Ping Zhang, Pankaj Agarwal, and Zoran Obradovic |
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Minimal Shrinkage for Noisy Data Recovery |
Deguang Kong and Chris Ding |
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Iterative Model Refinement of Recommender MDPs based on Expert Feedback |
Omar Khan, Pascal Poupart, and John Mark Agosta |
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Fast kNN Graph Construction with Locality Sensitive Hashing |
Yan-Ming Zhang, Kaizhu Huang, Guanggang Geng, and Cheng-Lin Liu |
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Automatically Mapped Transfer Between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines |
Haitham Bou Ammar, Decebal Constantin Mocanu, Matthew Taylor, Kurt Driessens, Gerhard Weiss, and Karl Tuyls |
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Inner Ensembles: Using Ensemble Methods in the Learning Phase |
HOUMAN ABBASIAN, Chris Drummond, Nathalie Japkowicz, and Stan Matwin |
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A pairwise label ranking method with imprecise scores and partial predictions |
Sebastien Destercke |
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A cascaded supervised learning approach to inverse reinforcement learning |
Edouard Klein, Bilal Piot, Matthieu Geist, and Olivier Pietquin |
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Future Locations Prediction with Uncertain Data |
Disheng Qiu, Paolo Papotti, and Blanco Lorenzo |
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Spectral Learning of Sequence Taggers over Continuos Sequences |
Ariadna Quattoni and Adria Recasens |
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Learning Discriminative Sufficient Statistics Score Space |
Xiong Li, Bin Wang, Yuncai Liu, and Tai Sing Lee |
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Modeling Short-term Energy Load with Continuous Conditional Random Fields |
Hongyu Guo |
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Learning Graph-based Representations for Continuous Reinforcement Learning Domains |
Jan Hendrik Metzen |
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Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data |
Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, and Tijl De Bie |
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Itemset Based Sequence Classification |
Cheng Zhou, Boris Cule, and Bart Goethals |
Implementation |
As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs |
Petko Bogdanov, Ben Baumer, Prithwish Basu, Amotz Bar-Noy, and Ambuj Singh |
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Taxonomic Prediction with Tree-Structured Covariances |
Matthew Blaschko, Wojciech Zaremba, and Arthur Gretton |
Implementation |
Anonymizing data with relational and transaction attributes |
Giorgos Poulis, Grigorios Loukides, Aris Gkoulalas-Divanis, and Spiros Skiadopoulos |
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A Bayesian Classifier for Learning from Tensorial Data |
Wei Liu, Jeffrey Chan, James Bailey, Christopher Leckie, Fang Chen, and Rao Kotagiri |
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