| A Relevance Criterion for Sequential Patterns |
| Henrik Grosskreutz, Bastian Lang, and Daniel Trabold |
|
| Using Both Latent and Supervised Shared Topics for Multitask Learning |
| Ayan Acharya, Aditya Rawal, Eduardo Hruschka, and Raymond Mooney |
|
| Mixtures of Large Margin Nearest Neighbor Classifiers |
| Murat Semerci, and Ethem Alpaydin |
|
| Exploratory Learning |
| Bhavana Dalvi, William Cohen, and Jamie Callan |
|
| Learning Exemplar-Represented Manifolds in Latent Space for Classification |
| Shu Kong and Donghui Wang |
|
| Incremental Sensor Placement Optimization on Water Network |
| Xiaomin Xu, Yiqi Lu, Sheng Huang, Yanghua Xiao, and Wei Wang |
|
| Hub Co-occurrence Modeling for Robust High-dimensional kNN Classification |
| Nenad Tomasev and Dunja Mladenic |
|
| Noisy Matrix Completion Using Alternating Minimization |
| Suriya Gunasekar, Ayan Acharya, Neeraj Gaur and Joydeep Ghosh |
|
| 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 |
|
| Mining Outlier Participants: Insights Using Directional Distributions in Latent Models |
| Didi Surian and Sanjay Chawla |
|
| A Layered Dirichlet Process for Hierarchical Segmentation of Sequential Grouped Data |
| Adway Mitra, Ranganath B.N., and Indrajit Bhattacharya |
|
| Knowledge Transfer for Multi-Labeler Active Learning |
| Meng Fang, Jie Yin, and Xingquan Zhu |
|
| A fast and simple method for mining subsequences with surprising event counts |
| Jefrey Lijffijt |
|
| Supervised Learning of Syntactic Contexts for Uncovering Definitions and Extracting Hypernym Relations in Text Databases |
| Guido Boella and Luigi Di Caro |
|
| Incremental Local Evolutionary Outlier Detection for Dynamic Social Networks |
| Tengfei Ji, Jun Gao, and Dongqing Yang |
|
| Forest-Based Point Process for Event Prediction from Electronic Health Records |
| Jeremy Weiss, Michael Caldwell, and David Page |
|
| 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 |
|
| Relevant Subsequence Detection with Sparse Dictionary Learning |
| Sam Blasiak, Huzefa Rangwala,and Kathryn Laskey |
|
| 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 |
|
| Learning Throttle Valve Control Using Policy Search |
| Bastian Bischoff, Duy Nguyen-Tuong, Torsten Koller, Heiner Markert, and Alois Knoll |
|
| A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization |
| Ali Jalali, Javad Azimi, Xiaoli Fern, and Ruofei Zhang |
|
| Explaining Interval Sequences by Randomization |
| Andreas Henelius, Jussi Korpela, and Kai Puolamaki |
|
| Fault tolerant regression for sensor data |
| Indre Zliobaite, and Jaakko Hollmén |
|
| Pitfalls in benchmarking data stream classification and how to avoid them |
| Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, and Geoff Holmes |
|
| Embedding with Autoencoder Regularization |
| Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, and Zhongzhi Shi |
|
| Boosting for Unsupervised Domain Adaptation |
| Amaury Habrard, Jean-Philippe Peyrache, and Marc Sebban |
|
| 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 |
|
| A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank |
| Hongyang Zhang, Zhouchen Lin, and Chao Zhang |
|
| A Nearly Unbiased Matrix Completion Approach |
| Dehua Liu, Tengfei Zhou, Hui Qian, Congfu Xu, and Zhihua Zhang |
|
| Local Outlier Detection with Interpretation |
| Xuan-Hong Dang, Barbora Micenkova, Ira Assent, and Raymond T. Ng |
|
| 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 |
|
| Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models |
| Shuo Yang and Sriraam Natarajan |
|
| 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 |
|
| Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines |
| Marco Stolpe, Kanishka Bhaduri, Kamalika Das, and Katharina Morik |
|
| PSSDL : Probabilistic Semi-Supervised Dictionary Learning |
| Behnam Babagholami-Mohamadabadi, Ali Zarghami, Mohammadreza Zolfaghari, and Mahdieh Soleymani Baghshah |
|
| A declarative framework for Constrained Clustering |
| Thi-Bich-Hanh Dao, Khanh-Chuong Duong, and Christel Vrain |
|
| Adaptive Model Rules from Data Streams |
| Ezilda Almeida, Carlos Ferreira, and Joao Gama |
|
| 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 |
|
| Discovering Nested Communities |
| Nikolaj Tatti and Aristides Gionis |
|
| Sparse Relational Topic Models for Document Networks |
| Aonan Zhang, Jun Zhu, and Bo Zhang |
|
| Learning Socially Optimal Information Systems from Egoistic Users |
| Karthik Raman and Thorsten Joachims |
|
| Greedy Confidence Pursuit: A Pragmatic Approach to Multi-Bandit Optimization |
| Philip Bachman and Doina Precup |
|
| Protein Function Prediction using Dependence Maximization |
| Guoxian Yu, Carlotta Demoniconi, Huzefa Rangwala, and Guoji Zhang |
|
| Solving Relational MDPs with Exogenous Events and Additive Rewards |
| Saket Joshi, Roni Khardon, Prasad Tadepalli, Aswin Raghavan, and Alan Fern |
|
| Nested Hierarchical Dirichlet Process for Nonparametric Entity-Topic Analysis |
| Priyanka Agrawal, Lavanya Tekumalla, and Indrajit Bhattacharya |
|
| 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 |
|
| Decision-theoretic Sparsification for Gaussian Process Preference Learning |
| Ehsan Abbasnejad, Edwin Bonilla, and Scott Sanner |
|
| An Analysis of Tensor Models for Learning on Structured Data |
| Maximilian Nickel and Volker Tresp |
|
| Inhomogeneous Parsimonious Markov Models |
| Ralf Eggeling, Andre Gohr, Pierre-Yves Bourguignon, Edgar Wingender, and Ivo Grosse |
|
| Fast and Exact Mining of Probabilistic Data Streams |
| Reza Akbarinia and Florent Masseglia |
|
| Learning Modewise Independent Components from Tensor Data Using Multilinear Mixing Model |
| Haiping Lu |
|
| 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 |
|
| Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures |
| KONSTANTINOS BOUSMALIS, Stefanos Zafeiriou, Louis-Philippe Morency, Maja Pantic, and Zoubin Ghahramani |
|
| Identifiability of Model Properties in Over-Parameterized Model Classes |
| Manfred Jaeger |
|
| Will my Question be Answered? Predicting “Question Answerability” in Community Question-Answering Sites |
| Gideon Dror, Yoelle Maarek, and Idan Szpektor |
|
| Continuous Similarity Computation over Streaming Graphs |
| Elena Valari and Apostolos Papadopoulos |
|
| Improving relational classification using link prediction techniques |
| Cristina Pérez-Solà and Jordi Herrera-Joancomartí |
|
| Trend Mining in Dynamic Attributed Graphs |
| Elise Desmier, Marc Plantevit, Celine Robardet and Jean-Francois Boulicaut |
|
| Properly Acting under Partial Observability with Action Feasibility Constraints |
| Caroline Carvalho Chanel and Florent Teichteil-Königsbuch |
|
| Sparsity in Bayesian Blind Source Separation and Deconvolution |
| Václav Šmídl and Ondřej Tichý |
|
| Learning from demonstrations: Is it worth estimating a reward function? |
| Bilal Piot, Matthieu Geist, and Olivier Pietquin |
|
| On Discovering the Correlated Relationship between Static and Dynamic Data in Clinical Gait Analysis |
| Yin Song, Jian Zhang, Longbing Cao, and Morgan Sangeux |
|
| Efficient Frequent Connected Induced Subgraph Mining in Graphs of Bounded Treewidth |
| Tamas Horvath, Keisuke Otaki, and Jan Ramon |
|
| CSI: Community-level Social Influence analysis |
| Yasir Mehmood, Nicola Barbieri, Francesco Bonchi, and Antti Ukkonen |
|
| Socially Enabled Preference Learning from Implicit feedback data |
| Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, and Stephane Canu |
|
| Bundle CDN: A Highly Parallelized Approach for Large-scale L1-regularized Logistic Regression |
| Yatao Bian, Xiong Li, mingqi Cao, and Yuncai Liu |
|
| Cross-Domain Recommendation via Cluster-Level Latent Factor Model |
| Sheng Gao, Hao Luo, Da Chen, Shantao Li, Patrick Gallinar, and Jun Guo |
|
| Difference-based Estimates for Generalization-Aware Subgroup Discovery |
| Florian Lemmerich, Martin Becker, and Frank Puppe |
|
| Structured Output Learning with Candidate Labels for Local Parts |
| Chengtao Li, Jianwen Zhang, and Zheng Chen |
|
| Error Prediction With Partial Feedback |
| William Darling, Guillaume Bouchard, shachar Mirkin, and Cedric Archambeau |
|
| Regret Bounds for Reinforcement Learning with Policy Advice |
| Mohammad Azar, Alessandro Lazaric, and Emma Brunskill |
|
| Continuous Upper Confidence Trees with Polynomial Exploration – Consistency |
| Adrien Couetoux, David Auger, Olivier Teytaud |
|
| 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 |
|
| 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 |
|
| Model-Selection for Non-Parametric Function Approximation in Continuous Control Problems: A Case Study in a Smart Energy System |
| Daniel Urieli and Peter Stone |
|
| Reduced-Rank Local Distance Metric Learning |
| Yinjie Huang, Cong Li, Michael Georgiopoulos, and Georgios Anagnostopoulos |
|
| A Time and Space Efficient Algorithm for Contextual Linear Bandits |
| Jose Bento, Stratis Ioannidis, S Muthukrishnan, and Jinyun Yan |
|
| Greedy Part-Wise Learning of Sum-Product Networks |
| Robert Peharz, Bernhard Geiger, and Franz Pernkopf |
|
| Privacy-Preserving Mobility Monitoring using Sketches of Stationary Sensor Readings |
| Michael Kamp, Christine Kopp, Michael Mock, Mario Boley, and Michael May |
|
| Learning to Detect Patterns of Crime |
| Tong Wang, Cynthia Rudin, Dan Wagner, and Rich Sevieri |
|
| Influence of Graph Construction on Semi-supervised Learning |
| Celso André De Sousa, Gustavo Batista, and Solange Rezende |
|
| Detecting Bicliques in GF[q] |
| Jan Ramon, Pauli Miettinen, and Jilles Vreeken |
|
| Area Under the Precision-Recall Curve: Point Estimates and Confidence Intervals |
| Kendrick Boyd, Kevin Eng, and David Page |
|
| 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 |
|
| MORD: Multi-class classifier for Ordinal Regression |
| Konstiantyn Antoniuk, Vojtech Franc, and Vaclav Hlavac |
|
| Exploiting Multi-Step Sample Trajectories for Approximate Value Iteration |
| Robert Wright, Lei Yu, Steven Loscalzo, and Philip Dexter |
|
| Tractable Semi-Supervised Learning of Complex Structured Prediction Models |
| Kai-Wei Chang, Sundararajan S., and Sathiya Keerthi |
|
| Multi-core Structural SVM Training |
| Kai-Wei Chang, Vivek srikumar, and Dan Roth |
|
| Multi-label Classification with Output Kernels |
| Yuhong Guo and Dale Schuurmans |
|
| 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 |
|
| Efficient Rank-one Residue Approximation Method for Graph Regularized Non-negative Matrix Factorization |
| Qing LIAO and Qian Zhang |
|
| Computational Drug Repositioning by Ranking and Integrating Multiple Data Sources |
| Ping Zhang, Pankaj Agarwal, and Zoran Obradovic |
|
| Minimal Shrinkage for Noisy Data Recovery |
| Deguang Kong and Chris Ding |
|
| Iterative Model Refinement of Recommender MDPs based on Expert Feedback |
| Omar Khan, Pascal Poupart, and John Mark Agosta |
|
| Fast kNN Graph Construction with Locality Sensitive Hashing |
| Yan-Ming Zhang, Kaizhu Huang, Guanggang Geng, and Cheng-Lin Liu |
|
| 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 |
|
| Inner Ensembles: Using Ensemble Methods in the Learning Phase |
| HOUMAN ABBASIAN, Chris Drummond, Nathalie Japkowicz, and Stan Matwin |
|
| A pairwise label ranking method with imprecise scores and partial predictions |
| Sebastien Destercke |
|
| A cascaded supervised learning approach to inverse reinforcement learning |
| Edouard Klein, Bilal Piot, Matthieu Geist, and Olivier Pietquin |
|
| Future Locations Prediction with Uncertain Data |
| Disheng Qiu, Paolo Papotti, and Blanco Lorenzo |
|
| Spectral Learning of Sequence Taggers over Continuos Sequences |
| Ariadna Quattoni and Adria Recasens |
|
| Learning Discriminative Sufficient Statistics Score Space |
| Xiong Li, Bin Wang, Yuncai Liu, and Tai Sing Lee |
|
| Modeling Short-term Energy Load with Continuous Conditional Random Fields |
| Hongyu Guo |
|
| Learning Graph-based Representations for Continuous Reinforcement Learning Domains |
| Jan Hendrik Metzen |
|
| Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data |
| Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, and Tijl De Bie |
|
| 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 |
|
| 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 |
|
| 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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