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Publication search results
found 51 matches
- 2016
- Ibrahim M. Alabdulmohsin
, Moustapha Cissé, Xiangliang Zhang:
Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy? ECML/PKDD (1) 2016: 749-760 - Suyash P. Awate, Nishanth N. Koushik:
Robust Dictionary Learning on the Hilbert Sphere in Kernel Feature Space. ECML/PKDD (1) 2016: 731-748 - Colin Bellinger, Christopher Drummond, Nathalie Japkowicz:
Beyond the Boundaries of SMOTE - A Framework for Manifold-Based Synthetically Oversampling. ECML/PKDD (1) 2016: 248-263 - Bokai Cao, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu, Alex D. Leow:
Semi-supervised Tensor Factorization for Brain Network Analysis. ECML/PKDD (1) 2016: 17-32 - Xuezhi Cao, Yong Yu:
BASS: A Bootstrapping Approach for Aligning Heterogenous Social Networks. ECML/PKDD (1) 2016: 459-475 - Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani:
Transactional Tree Mining. ECML/PKDD (1) 2016: 182-198 - Boris Cule, Len Feremans, Bart Goethals:
Efficient Discovery of Sets of Co-occurring Items in Event Sequences. ECML/PKDD (1) 2016: 361-377 - Yahel David, Nahum Shimkin:
Pure Exploration for Max-Quantile Bandits. ECML/PKDD (1) 2016: 556-571 - Changying Du, Changde Du, Guoping Long, Xin Jin, Yucheng Li:
Efficient Bayesian Maximum Margin Multiple Kernel Learning. ECML/PKDD (1) 2016: 165-181 - Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long:
Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. ECML/PKDD (1) 2016: 148-164 - Farideh Fazayeli, Arindam Banerjee:
The Matrix Generalized Inverse Gaussian Distribution: Properties and Applications. ECML/PKDD (1) 2016: 648-664 - Maxime Gasse, Alex Aussem:
F-Measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets. ECML/PKDD (1) 2016: 619-631 - Michael Geilke, Andreas Karwath, Stefan Kramer:
Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions. ECML/PKDD (1) 2016: 65-80 - Krzysztof J. Geras, Charles Sutton:
Composite Denoising Autoencoders. ECML/PKDD (1) 2016: 681-696 - Dhouha Grissa, Blandine Comte, Estelle Pujos-Guillot, Amedeo Napoli:
A Hybrid Knowledge Discovery Approach for Mining Predictive Biomarkers in Metabolomic Data. ECML/PKDD (1) 2016: 572-587 - Xiawei Guo, James T. Kwok:
Aggregating Crowdsourced Ordinal Labels via Bayesian Clustering. ECML/PKDD (1) 2016: 426-442 - Bo Han, Ivor W. Tsang, Ling Chen:
On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent. ECML/PKDD (1) 2016: 665-680 - Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki:
Semigeometric Tiling of Event Sequences. ECML/PKDD (1) 2016: 329-344 - Hamed Karimi, Julie Nutini, Mark Schmidt:
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition. ECML/PKDD (1) 2016: 795-811 - Nitish Shirish Keskar, Albert S. Berahas:
adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs. ECML/PKDD (1) 2016: 1-16 - Nguyen Lu Dang Khoa, Sanjay Chawla:
Incremental Commute Time Using Random Walks and Online Anomaly Detection. ECML/PKDD (1) 2016: 49-64 - Yongdai Kim, Minwoo Chae, Kuhwan Jeong, Byungyup Kang, Hyoju Chung:
An Online Gibbs Sampler Algorithm for Hierarchical Dirichlet Processes Prior. ECML/PKDD (1) 2016: 509-523 - Iordanis Koutsopoulos, Panagiotis Spentzouris:
Native Advertisement Selection and Allocation in Social Media Post Feeds. ECML/PKDD (1) 2016: 588-603 - Branislav Kveton, Hung Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun:
Graphical Model Sketch. ECML/PKDD (1) 2016: 81-97 - Yang Li, Junyuan Hong, Huanhuan Chen:
Sequential Data Classification in the Space of Liquid State Machines. ECML/PKDD (1) 2016: 313-328 - Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen:
Attribute Conjunction Learning with Recurrent Neural Network. ECML/PKDD (1) 2016: 345-360 - Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin:
Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks. ECML/PKDD (1) 2016: 476-492 - Shin Matsushima:
Asynchronous Feature Extraction for Large-Scale Linear Predictors. ECML/PKDD (1) 2016: 604-618 - Evangelos Michelioudakis, Anastasios Skarlatidis, Georgios Paliouras, Alexander Artikis:
\mathtt OSLα : Online Structure Learning Using Background Knowledge Axiomatization. ECML/PKDD (1) 2016: 232-247 - Naoto Ohsaka, Yutaro Yamaguchi, Naonori Kakimura, Ken-ichi Kawarabayashi:
Maximizing Time-Decaying Influence in Social Networks. ECML/PKDD (1) 2016: 132-147
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