Papers
734 papers found
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels
Marion Neumann, Roman Garnett, Kristian Kersting
Co-Training with Insufficient Views
Wei Wang, Zhi-Hua Zhou
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning
Christian Wirth, Johannes Fürnkranz
Exploration vs Exploitation vs Safety: Risk-Aware Multi-Armed Bandits
Nicolas Galichet, Michèle Sebag, Olivier Teytaud
Generalized Aitchison Embeddings for Histograms
Tam Le, Marco Cuturi
Guided Monte Carlo Tree Search for Planning in Learned Environments
Jelle Van Eyck, Jan Ramon, Fabian Guiza et al.
Improving Predictive Specificity of Description Logic Learners by Fortification
An Tran, Jens Dietrich, Hans Guesgen et al.
Information Retrieval Perspective to Meta-visualization
Jaakko Peltonen, Ziyuan Lin
Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning
Karim Abou- Moustafa, Dale Schuurmans, Frank Ferrie
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine
Tu Dinh Nguyen, Truyen Tran, Dinh Phung et al.
Linear Approximation to ADMM for MAP inference
Sholeh Forouzan, Alexander Ihler
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
Risheng Liu, Zhouchen Lin, Zhixun Su
Locally-Linear Learning Machines (L3M)
Joseph Wang, Venkatesh Saligrama
Multi-armed Bandit Problem with Lock-up Periods
Junpei Komiyama, Issei Sato, Hiroshi Nakagawa
Multiclass Latent Locally Linear Support Vector Machines
Marco Fornoni, Barbara Caputo, Francesco Orabona
Multilabel Classification through Random Graph Ensembles
Hongyu Su, Juho Rousu
Multi-Label Classification with Unlabeled Data: An Inductive Approach
Le Wu, Min-Ling Zhang
Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering
Xiaotian Jiang, Zhendong Niu, Jiamin Guo et al.
On multi-class classification through the minimization of the confusion matrix norm
Sokol Koço, Cécile Capponi
Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification
Fabian Gieseke, Tapio Pahikkala, Christian Igel
Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes
Kouzou Ohara, Kazumi Saito, Masahiro Kimura et al.
Q-learning for history-based reinforcement learning
Mayank Daswani, Peter Sunehag, Marcus Hutter
Second Order Online Collaborative Filtering
Jing Lu, Steven Hoi, Jialei Wang
Stability of Multi-Task Kernel Regression Algorithms
Julien Audiffren, Hachem Kadri