io-port.net

io-port 06062653 He, Jianjun; Gu, Hong; Wang, Zhelong

Bayesian multi-instance multi-label learning using Gaussian process prior. (English)

Mach. Learn. 88, No. 1-2, 273-295 (2012).

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io-port 06062652 Read, Jesse; Bifet, Albert; Holmes, Geoff; Pfahringer, Bernhard

Scalable and efficient multi-label classification for evolving data streams. (English)

Mach. Learn. 88, No. 1-2, 243-272 (2012).

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io-port 06062651 Cesa-Bianchi, Nicolò; Re, Matteo; Valentini, Giorgio

Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference. (English)

Mach. Learn. 88, No. 1-2, 209-241 (2012).

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io-port 06062650 Rubin, Timothy N.; Chambers, America; Smyth, Padhraic; Steyvers, Mark

Statistical topic models for multi-label document classification. (English)

Mach. Learn. 88, No. 1-2, 157-208 (2012).

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io-port 06062649 Hariharan, Bharath; Vishwanathan, S.V.N.; Varma, Manik

Efficient max-margin multi-label classification with applications to zero-shot learning. (English)

Mach. Learn. 88, No. 1-2, 127-155 (2012).

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io-port 06062648 Zhou, Tianyi; Tao, Dacheng; Wu, Xindong

Compressed labeling on distilled labelsets for multi-label learning. (English)

Mach. Learn. 88, No. 1-2, 69-126 (2012).

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io-port 06062647 Yang, Yiming; Gopal, Siddharth

Multilabel classification with meta-level features in a learning-to-rank framework. (English)

Mach. Learn. 88, No. 1-2, 47-68 (2012).

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io-port 06062646 Dembczyński, Krzysztof; Waegeman, Willem; Cheng, Weiwei; Hüllermeier, Eyke

On label dependence and loss minimization in multi-label classification. (English)

Mach. Learn. 88, No. 1-2, 5-45 (2012).

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io-port 06062645 Tsoumakas, Grigorios; Zhang, Min-Ling; Zhou, Zhi-Hua

Introduction to the special issue on learning from multi-label data. (English)

Mach. Learn. 88, No. 1-2, 1-4 (2012).

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io-port 06062644 Srinivasan, Ashwin; Faruquie, Tanveer A.; Joshi, Sachindra

Data and task parallelism in ILP using mapreduce. (English)

Mach. Learn. 86, No. 1, 141-168 (2012).

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io-port 06062643 Yamamoto, Yoshitaka; Inoue, Katsumi; Iwanuma, Koji

Inverse subsumption for complete explanatory induction. (English)

Mach. Learn. 86, No. 1, 115-139 (2012).

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io-port 06062642 Riguzzi, Fabrizio; Di Mauro, Nicola

Applying the information bottleneck to statistical relational learning. (English)

Mach. Learn. 86, No. 1, 89-114 (2012).

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io-port 06062641 Diligenti, Michelangelo; Gori, Marco; Maggini, Marco; Rigutini, Leonardo

Bridging logic and kernel machines. (English)

Mach. Learn. 86, No. 1, 57-88 (2012).

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io-port 06062640 Natarajan, Sriraam; Khot, Tushar; Kersting, Kristian; Gutmann, Bernd; Shavlik, Jude

Gradient-based boosting for statistical relational learning: the relational dependency network case. (English)

Mach. Learn. 86, No. 1, 25-56 (2012).

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io-port 06062639 Muggleton, Stephen; De Raedt, Luc; Poole, David; Bratko, Ivan; Flach, Peter

ILP turns 20. Biography and future challenges. (English)

Mach. Learn. 86, No. 1, 3-23 (2012).

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io-port 06062638 Pahikkala, Tapio; Suominen, Hanna; Boberg, Jorma

Efficient cross-validation for kernelized least-squares regression with sparse basis expansions. (English)

Mach. Learn. 87, No. 3, 381-407 (2012).

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io-port 06062637 Reif, Matthias; Shafait, Faisal; Dengel, Andreas

Meta-learning for evolutionary parameter optimization of classifiers. (English)

Mach. Learn. 87, No. 3, 357-380 (2012).

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io-port 06062636 Ye, Gui-Bo; Xie, Xiaohui

Learning sparse gradients for variable selection and dimension reduction. (English)

Mach. Learn. 87, No. 3, 303-355 (2012).

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io-port 06062635 Baldassarre, Luca; Rosasco, Lorenzo; Barla, Annalisa; Verri, Alessandro

Multi-output learning via spectral filtering. (English)

Mach. Learn. 87, No. 3, 259-301 (2012).

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io-port 06037854 Kappen, Hilbert J.; Gómez, Vicenç; Opper, Manfred

Optimal control as a graphical model inference problem. (English)

Mach. Learn. 87, No. 2, 159-182 (2012).

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