ACML C

34 papers

YearTitle / Authors
2013Accelerated Coordinate Descent with Adaptive Coordinate Frequencies.
Tobias Glasmachers, Ürün Dogan
2013Achievability of Asymptotic Minimax Regret in Online and Batch Prediction.
Kazuho Watanabe, Teemu Roos, Petri Myllymäki
2013Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking.
Wei-Yuan Shen, Hsuan-Tien Lin
2013Aggregating Predictions via Sequential Mini-Trading.
Mindika Premachandra, Mark D. Reid
2013Asian Conference on Machine Learning, ACML 2013, Canberra, ACT, Australia, November 13-15, 2013
Cheng Soon Ong, Tu Bao Ho
2013Co-Training with Insufficient Views.
Wei Wang, Zhi-Hua Zhou
2013Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels.
Marion Neumann, Roman Garnett, Kristian Kersting
2013EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning.
Christian Wirth, Johannes Fürnkranz
2013Exploration vs Exploitation vs Safety: Risk-Aware Multi-Armed Bandits.
Nicolas Galichet, Michèle Sebag, Olivier Teytaud
2013Generalized Aitchison Embeddings for Histograms.
Tam Le, Marco Cuturi
2013Guided Monte Carlo Tree Search for Planning in Learned Environments.
Jelle Van Eyck, Jan Ramon, Fabian Güiza Grandas, Geert Meyfroidt, Maurice Bruynooghe, Greta Van den Berghe
2013Improving Predictive Specificity of Description Logic Learners by Fortification.
An Cong Tran, Jens Dietrich, Hans W. Guesgen, Stephen Marsland
2013Information Retrieval Perspective to Meta-visualization.
Jaakko Peltonen, Ziyuan Lin
2013Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine.
Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2013Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning.
Karim T. Abou-Moustafa, Dale Schuurmans, Frank P. Ferrie
2013Linear Approximation to ADMM for MAP inference.
Sholeh Forouzan, Alexander Ihler
2013Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning.
Risheng Liu, Zhouchen Lin, Zhixun Su
2013Locally-Linear Learning Machines (L3M).
Joseph Wang, Venkatesh Saligrama
2013Multi-Label Classification with Unlabeled Data: An Inductive Approach.
Le Wu, Min-Ling Zhang
2013Multi-armed Bandit Problem with Lock-up Periods.
Junpei Komiyama, Issei Sato, Hiroshi Nakagawa
2013Multiclass Latent Locally Linear Support Vector Machines.
Marco Fornoni, Barbara Caputo, Francesco Orabona
2013Multilabel Classification through Random Graph Ensembles.
Hongyu Su, Juho Rousu
2013Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering.
Xiaotian Jiang, Zhendong Niu, Jiamin Guo, Ghulam Mustafa, Zi-Han Lin, Baomi Chen, Qian Zhou
2013On multi-class classification through the minimization of the confusion matrix norm.
Sokol Koço, Cécile Capponi
2013Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification.
Fabian Gieseke, Tapio Pahikkala, Christian Igel
2013Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes.
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
2013Preface.
2013Q-learning for history-based reinforcement learning.
Mayank Daswani, Peter Sunehag, Marcus Hutter
2013Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions.
Robert J. Durrant, Ata Kabán
2013Second Order Online Collaborative Filtering.
Jing Lu, Steven C. H. Hoi, Jialei Wang
2013Stability of Multi-Task Kernel Regression Algorithms.
Julien Audiffren, Hachem Kadri
2013The Multi-Task Learning View of Multimodal Data.
Hachem Kadri, Stéphane Ayache, Cécile Capponi, Sokol Koço, François-Xavier Dupé, Emilie Morvant
2013Unconfused Ultraconservative Multiclass Algorithms.
Ugo Louche, Liva Ralaivola
2013Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift.
Thomas Vanck, Jochen Garcke