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ORCID2. ACML 2010: Tokyo, Japan
- Masashi Sugiyama, Qiang Yang:
Proceedings of the 2nd Asian Conference on Machine Learning, ACML 2010, Tokyo, Japan, November 8-10, 2010. JMLR Proceedings 13, JMLR.org 2010 - Masashi Sugiyama, Qiang Yang:
Preface. i-xiv - Aapo Hyvärinen:
Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models. 1-16 - Naresh Manwani, P. S. Sastry:
Learning Polyhedral Classifiers Using Logistic Function. 17-30 - Michinari Momma, Kohei Hatano, Hiroki Nakayama:
Ellipsoidal Support Vector Machines. 31-46 - Bo Dai, Bao-Gang Hu:
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering. 47-62 - Han Xiao, Thomas Stibor:
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation. 63-78 - Dmitry Kropotov, Dmitry P. Vetrov, Lior Wolf, Tal Hassner:
Variational Relevance Vector Machine for Tabular Data. 79-94 - Sunho Park, Seungjin Choi:
Hierarchical Gaussian Process Regression. 95-110 - Dorota Glowacka, John Shawe-Taylor:
Content-based Image Retrieval with Multinomial Relevance Feedback. 111-125 - Mahito Sugiyama, Akihiro Yamamoto:
The Coding Divergence for Measuring the Complexity of Separating Two Sets. 127-143 - Yasuo Tabei, Takeaki Uno, Masashi Sugiyama, Koji Tsuda:
Single versus Multiple Sorting in All Pairs Similarity Search. 145-160 - Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato, Shin-ichi Minato:
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models. 161-176 - Tarek Abudawood, Peter A. Flach:
Exploiting the High Predictive Power of Multi-class Subgroups. 177-192 - Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda:
Generative Models of Information Diffusion with Asynchronous Timedelay. 193-208 - Chunquan Liang, Yang Zhang, Qun Song:
Decision Tree for Dynamic and Uncertain Data Streams. 209-224 - Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer:
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking. 225-240 - Pei-Pei Li, Xindong Wu, Xuegang Hu:
Mining Recurring Concept Drifts with Limited Labeled Streaming Data. 241-252 - Kristian Kersting, Mirwaes Wahabzada, Christian Thurau, Christian Bauckhage:
Hierarchical Convex NMF for Clustering Massive Data. 253-268 - Xia Ning, George Karypis
:
Multi-task Learning for Recommender System. 269-284 - Takamitsu Matsubara, Tetsuro Morimura, Jun Morimoto:
Adaptive Step-size Policy Gradients with Average Reward Metric. 285-298 - Odalric-Ambrym Maillard, Rémi Munos, Alessandro Lazaric, Mohammad Ghavamzadeh:
Finite-sample Analysis of Bellman Residual Minimization. 299-314 - Fabian Kaelin, Doina Precup:
A Study of Approximate Inference in Probabilistic Relational Models. 315-330 - Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Mostafa Ajallooeian, Babak Nadjar Araabi, Hadi Moradi:
Conceptual Imitation Learning: An Application to Human-robot Interaction. 331-346
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