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ORCIDMachine Learning, Volume 83
Volume 83, Number 1, April 2011
- Chiaki Sakama, Katsumi Inoue
:
Inductive equivalence in clausal logic and nonmonotonic logic programming. 1-29 - Stéphan Clémençon, Marine Depecker, Nicolas Vayatis:
Adaptive partitioning schemes for bipartite ranking - How to grow and prune a ranking tree. 31-69 - Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile:
Learning noisy linear classifiers via adaptive and selective sampling. 71-102 - Wenjun Zhou, Hui Xiong:
Checkpoint evolution for volatile correlation computing. 103-131
Volume 83, Number 2, May 2011
- Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro M. Domingos, Kristian Kersting, Xifeng Yan:
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning. 133-135 - Leander Schietgat, Fabrizio Costa, Jan Ramon, Luc De Raedt:
Effective feature construction by maximum common subgraph sampling. 137-161 - Ondrej Kuzelka, Filip Zelezný:
Block-wise construction of tree-like relational features with monotone reducibility and redundancy. 163-192 - Andreas Maunz, Christoph Helma, Stefan Kramer:
Efficient mining for structurally diverse subgraph patterns in large molecular databases. 193-218 - Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini:
Relational information gain. 219-239 - Taisuke Sato, Masakazu Ishihata, Katsumi Inoue:
Constraint-based probabilistic modeling for statistical abduction. 241-264
Volume 83, Number 3, June 2011
- Justin Guinney, Qiang Wu, Sayan Mukherjee:
Estimating variable structure and dependence in multitask learning via gradients. 265-287 - Steffen Grünewälder, Klaus Obermayer:
The optimal unbiased value estimator and its relation to LSTD, TD and MC. 289-330 - David R. Hardoon, John Shawe-Taylor:
Sparse canonical correlation analysis. 331-353 - Marco Grzegorczyk, Dirk Husmeier:
Non-homogeneous dynamic Bayesian networks for continuous data. 355-419
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