Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Chun-Liang Li, Chun-Sung Ferng, Hsuan-Tien Lin |
Active Learning with Hinted Support Vector Machine. |
ACML |
2012 |
DBLP BibTeX RDF |
|
1 | Yoav Haimovitch, Koby Crammer, Shie Mannor |
More Is Better: Large Scale Partially-supervised Sentiment Classication. |
ACML |
2012 |
DBLP BibTeX RDF |
|
1 | Weijia Wang 0001, Michèle Sebag |
Multi-objective Monte-Carlo Tree Search. |
ACML |
2012 |
DBLP BibTeX RDF |
|
1 | Shota Yasutake, Kohei Hatano, Eiji Takimoto, Masayuki Takeda |
Online Rank Aggregation. |
ACML |
2012 |
DBLP BibTeX RDF |
|
1 | Fatemeh Azmandian, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli |
Local Kernel Density Ratio-Based Feature Selection for Outlier Detection. |
ACML |
2012 |
DBLP BibTeX RDF |
|
1 | Arto Klami |
Variational Bayesian Matching. |
ACML |
2012 |
DBLP BibTeX RDF |
|
1 | Truyen Tran 0001, Dinh Q. Phung, Svetha Venkatesh |
Learning From Ordered Sets and Applications in Collaborative Ranking. |
ACML |
2012 |
DBLP BibTeX RDF |
|
1 | Zhiyong Liu 0001, Hong Qiao |
A Convex-Concave Relaxation Procedure Based Subgraph Matching Algorithm. |
ACML |
2012 |
DBLP BibTeX RDF |
|
1 | Sergey Demyanov, James Bailey 0001, Kotagiri Ramamohanarao, Christopher Leckie |
AIC and BIC based approaches for SVM parameter value estimation with RBF kernels. |
ACML |
2012 |
DBLP BibTeX RDF |
|
1 | Mathieu Guillame-Bert, James L. Crowley |
Learning Temporal Association Rules on Symbolic Time Sequences. |
ACML |
2012 |
DBLP BibTeX RDF |
|
1 | Steven C. H. Hoi, Wray L. Buntine (eds.) |
Proceedings of the 4th Asian Conference on Machine Learning, ACML 2012, Singapore, Singapore, November 4-6, 2012 |
ACML |
2012 |
DBLP BibTeX RDF |
|
1 | Akihiro Koide, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
Estimating Diffusion Probability Changes for AsIC-SIS Model. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Francesco Dinuzzo, Kenji Fukumizu |
Learning low-rank output kernels. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Shukai Li, Ivor W. Tsang |
Learning to Locate Relative Outliers. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Chun-Sung Ferng, Hsuan-Tien Lin |
Multi-label Classification with Error-correcting Codes. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig |
Improving Policy Gradient Estimates with Influence Information. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Battista Biggio, Blaine Nelson, Pavel Laskov |
Support Vector Machines Under Adversarial Label Noise. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Mingmin Chi, Huijun He |
Nonlinear Online Classificatand Michion Algorithm with Probability Margin. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Lizhong Ding 0001, Shizhong Liao |
Approximate Model Selection for Large Scale LSSVM. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Janardhan Rao Doppa, Shahed Sorower, Mohammad NasrEsfahani, John Walker Orr, Thomas G. Dietterich, Xiaoli Z. Fern, Prasad Tadepalli, Jed Irvine |
Learning Rules from Incomplete Examples via Implicit Mention Models. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Chun-Nan Hsu, Wee Sun Lee |
Preface. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Masakazu Ishihata, Taisuke Sato |
Bayesian inference for statistical abduction using Markov chain Monte Carlo. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Kilho Shin |
Mapping kernels for infinite mapping systems. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Kun Zhang 0001, Aapo Hyvärinen |
A General Linear Non-Gaussian State-Space Model. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Adrien Couëtoux, Mario Milone, Mátyás Brendel, Hassen Doghmen, Michèle Sebag, Olivier Teytaud |
Continuous RAVE. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Jing He, Decheng Dai |
Summarization of Yes/No Questions Using a Feature Function Model. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Masanori Kawakita, Ryota Izumi, Jun'ichi Takeuchi, Yi Hu, Tetsuya Takamori, Hirokazu Kameyama |
Acceleration technique for boosting classification and its application to face detection. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Makoto Yamada, Gang Niu 0001, Jun Takagi, Masashi Sugiyama |
Suffcient Component Analysis. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Blaine Nelson, Battista Biggio, Pavel Laskov |
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Raphaël Bailly |
QWA: Spectral Algorithm. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Truyen Tran 0001, Dinh Q. Phung, Svetha Venkatesh |
Mixed-Variate Restricted Boltzmann Machines. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Jialei Wang, Jinfeng Zhuang, Steven C. H. Hoi |
Unsupervised Multiple Kernel Learning. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Yuki Yamagishi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
Learning Attribute-weighted Voter Model over Social Networks. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Sainbayar Sukhbaatar, Takaki Makino, Kazuyuki Aihara, Takashi Chikayama |
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Chen-Wei Hung, Hsuan-Tien Lin |
Multi-label Active Learning with Auxiliary Learner. |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Chun-Nan Hsu, Wee Sun Lee (eds.) |
Proceedings of the 3rd Asian Conference on Machine Learning, ACML 2011, Taoyuan, Taiwan, November 13-15, 2011 |
ACML |
2011 |
DBLP BibTeX RDF |
|
1 | Dorota Glowacka, John Shawe-Taylor |
Content-based Image Retrieval with Multinomial Relevance Feedback. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Albert Bifet, Eibe Frank, Geoffrey Holmes 0001, Bernhard Pfahringer |
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Xia Ning, George Karypis |
Multi-task Learning for Recommender System. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Hossein Hajimirsadeghi, Majid Nili Ahmadabadi, Mostafa Ajallooeian, Babak Nadjar Araabi, Hadi Moradi |
Conceptual Imitation Learning: An Application to Human-robot Interaction. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Dmitry Kropotov, Dmitry P. Vetrov, Lior Wolf, Tal Hassner |
Variational Relevance Vector Machine for Tabular Data. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Bo Dai 0001, Bao-Gang Hu |
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
Generative Models of Information Diffusion with Asynchronous Timedelay. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato, Shin-ichi Minato |
An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Michinari Momma, Kohei Hatano, Hiroki Nakayama |
Ellipsoidal Support Vector Machines. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Pei-Pei Li 0001, Xindong Wu 0001, Xuegang Hu |
Mining Recurring Concept Drifts with Limited Labeled Streaming Data. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Han Xiao 0002, Thomas Stibor |
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Kristian Kersting, Mirwaes Wahabzada, Christian Thurau, Christian Bauckhage |
Hierarchical Convex NMF for Clustering Massive Data. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Odalric-Ambrym Maillard, Rémi Munos, Alessandro Lazaric, Mohammad Ghavamzadeh |
Finite-sample Analysis of Bellman Residual Minimization. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Aapo Hyvärinen |
Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Sunho Park, Seungjin Choi |
Hierarchical Gaussian Process Regression. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Mahito Sugiyama, Akihiro Yamamoto |
The Coding Divergence for Measuring the Complexity of Separating Two Sets. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Chunquan Liang, Yang Zhang 0010, Qun Song 0003 |
Decision Tree for Dynamic and Uncertain Data Streams. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Takamitsu Matsubara, Tetsuro Morimura, Jun Morimoto |
Adaptive Step-size Policy Gradients with Average Reward Metric. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Fabian Kaelin, Doina Precup |
A Study of Approximate Inference in Probabilistic Relational Models. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Masashi Sugiyama, Qiang Yang 0001 |
Preface. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Tarek Abudawood, Peter A. Flach |
Exploiting the High Predictive Power of Multi-class Subgroups. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Yasuo Tabei, Takeaki Uno, Masashi Sugiyama, Koji Tsuda |
Single versus Multiple Sorting in All Pairs Similarity Search. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Naresh Manwani, P. S. Sastry |
Learning Polyhedral Classifiers Using Logistic Function. |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Masashi Sugiyama, Qiang Yang 0001 (eds.) |
Proceedings of the 2nd Asian Conference on Machine Learning, ACML 2010, Tokyo, Japan, November 8-10, 2010 |
ACML |
2010 |
DBLP BibTeX RDF |
|
1 | Yuhong Guo, Dale Schuurmans |
A Reformulation of Support Vector Machines for General Confidence Functions. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Manas A. Pathak, Eric Nyberg |
Learning Algorithms for Domain Adaptation. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Xin Li 0033, William K. Cheung 0001, Jiming Liu 0001 |
On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Ran He 0001, Bao-Gang Hu, Xiaotong Yuan |
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Qinghua Hu, Xunjian Che, Jinfu Liu |
Feature Selection via Maximizing Neighborhood Soft Margin. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Krikamol Muandet, Sanparith Marukatat, Cholwich Nattee |
Query Selection via Weighted Entropy in Graph-Based Semi-supervised Classification. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
Graph-Based Semi-supervised Learning, Active Learning |
1 | Albert Bifet, Geoffrey Holmes 0001, Bernhard Pfahringer, Ricard Gavaldà |
Improving Adaptive Bagging Methods for Evolving Data Streams. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma, Kenji Aoki 0001, Takayuki Nakata |
Linear Time Model Selection for Mixture of Heterogeneous Components. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
heterogeneous mixture model, model selection, minimum description length |
1 | Wray L. Buntine |
Estimating Likelihoods for Topic Models. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Masashi Sugiyama |
Density Ratio Estimation: A New Versatile Tool for Machine Learning. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Guy Van den Broeck, Kurt Driessens, Jan Ramon |
Monte-Carlo Tree Search in Poker Using Expected Reward Distributions. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Lei Jia, Shizhong Liao |
Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Remco R. Bouckaert |
A Hierarchical Face Recognition Algorithm. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Jun Sakuma, Rebecca N. Wright |
Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Zhi-Hua Zhou, Takashi Washio (eds.) |
Advances in Machine Learning, First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Han Xiao 0002, Xiaojie Wang 0006, Chao Du |
Injecting Structured Data to Generative Topic Model in Enterprise Settings. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
document classification, structured data, probabilistic topic model |
1 | Yuhong Guo |
Max-margin Multiple-Instance Learning via Semidefinite Programming. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Bo Li 0086, Hong Chang, Shiguang Shan, Xilin Chen 0001 |
Coupled Metric Learning for Face Recognition with Degraded Images. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Yan Li, Edward Hung |
Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
W-k-means, Clustering, classification, forest |
1 | Wei Qu, Yang Zhang 0010, Junping Zhu, Qiang Qiu |
Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
Binary Relevance, Dynamic Classifier Ensemble, Data Stream, Concept Drift, Multi-label |
1 | Gayle Leen, David R. Hardoon, Samuel Kaski |
Automatic Choice of Control Measurements. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Jiho Yoo, Seungjin Choi |
Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Eibe Frank, Remco R. Bouckaert |
Conditional Density Estimation with Class Probability Estimators. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Qiujie Li, Yaobin Mao, Zhiquan Wang, Wenbo Xiang |
Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
Cost-Sensitive Boosting, Boosting, Logistic Regression |
1 | Qiang Yang 0001 |
Transfer Learning beyond Text Classification. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Thomas G. Dietterich |
Machine Learning and Ecosystem Informatics: Challenges and Opportunities. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Derek Hao Hu, Dou Shen, Jian-Tao Sun, Qiang Yang 0001, Zheng Chen 0001 |
Context-Aware Online Commercial Intention Detection. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda |
Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Jeong Woo Son, Hyun-Je Song, Seong-Bae Park, Se-Young Park |
Coping with Distribution Change in the Same Domain Using Similarity-Based Instance Weighting. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Qixia Jiang, Yan Zhang 0031, Maosong Sun |
Community Detection on Weighted Networks: A Variational Bayesian Method. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
|
1 | Mori Kurokawa, Hiroyuki Yokoyama, Akito Sakurai |
Averaged Naive Bayes Trees: A New Extension of AODE. |
ACML |
2009 |
DBLP DOI BibTeX RDF |
augmented naive Bayes, averaged one-dependence estimators, naive Bayes trees, model averaging, naive Bayes |