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ORCID4. ACML 2012: Singapore, Singapore
- Steven C. H. Hoi, Wray L. Buntine:
Proceedings of the 4th Asian Conference on Machine Learning, ACML 2012, Singapore, Singapore, November 4-6, 2012. JMLR Proceedings 25, JMLR.org 2012 - Steven C. H. Hoi, Wray L. Buntine:
Preface. - Karim T. Abou-Moustafa, Frank P. Ferrie:
A Note on Metric Properties for Some Divergence Measures: The Gaussian Case. 1-15 - Prem Raj Adhikari, Jaakko Hollmén:
Multiresolution Mixture Modeling using Merging of Mixture Components. 17-32 - Nuaman Asbeh, Boaz Lerner:
Learning Latent Variable Models by Pairwise Cluster Comparison. 33-48 - Fatemeh Azmandian, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli:
Local Kernel Density Ratio-Based Feature Selection for Outlier Detection. 49-64 - Sotirios P. Chatzis:
A Coupled Indian Buffet Process Model for Collaborative Filtering. 65-79 - Tsung-Hsien Chiang, Hung-Yi Lo, Shou-De Lin:
A Ranking-based KNN Approach for Multi-Label Classification. 81-96 - Sergey Demyanov, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie:
AIC and BIC based approaches for SVM parameter value estimation with RBF kernels. 97-112 - Wentao Fan, Nizar Bouguila:
Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection. 113-128 - Raphaël Féraud, Tanguy Urvoy:
A stochastic bandit algorithm for scratch games. 129-143 - Suicheng Gu, Yuhong Guo:
Max-Margin Ratio Machine. 145-157 - Mathieu Guillame-Bert, James L. Crowley:
Learning Temporal Association Rules on Symbolic Time Sequences. 159-174 - Yoav Haimovitch, Koby Crammer, Shie Mannor:
More Is Better: Large Scale Partially-supervised Sentiment Classication. 175-190 - Ryoma Kawajiri, Masamichi Shimosaka, Rui Fukui, Tomomasa Sato:
Frustratingly Simplified Deployment in WLAN Localization by Learning from Route Annotation. 191-204 - Arto Klami:
Variational Bayesian Matching. 205-220 - Chun-Liang Li, Chun-Sung Ferng, Hsuan-Tien Lin:
Active Learning with Hinted Support Vector Machine. 221-235 - Zhiyong Liu, Hong Qiao:
A Convex-Concave Relaxation Procedure Based Subgraph Matching Algorithm. 237-252 - Guoqing Liu, Jianxin Wu, Zhi-Hua Zhou:
Key Instance Detection in Multi-Instance Learning. 253-268 - Omid Madani, Manfred Georg, David A. Ross:
On Using Nearly-Independent Feature Families for High Precision and Confidence. 269-284 - Hua Mao, Manfred Jaeger:
Learning and Model-Checking Networks of I/O Automata. 285-300 - Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan:
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization. 301-316 - Nicholas Navaroli, Christopher DuBois, Padhraic Smyth:
Statistical Models for Exploring Individual Email Communication Behavior. 317-332 - Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready:
QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization. 333-348 - Sandhya Prabhakaran, Karin J. Metzner, Alexander Böhm, Volker Roth:
Recovering Networks from Distance Data. 349-364 - Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen:
Topographic Analysis of Correlated Components. 365-378 - Shahriar Shariat, Vladimir Pavlovic
:
Improved sequence classification using adaptive segmental sequence alignment. 379-394 - Khoat Than, Tu Bao Ho, Duy Khuong Nguyen, Pham Ngoc Khanh:
Supervised dimension reduction with topic models. 395-410 - Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis. 411-426 - Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning From Ordered Sets and Applications in Collaborative Ranking. 427-442 - An C. Tran, Jens Dietrich, Hans W. Guesgen, Stephen Marsland:
Two-way Parallel Class Expression Learning. 443-458 - Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón:
Multi-Stage Classifier Design. 459-474 - Vladimir Vovk:
Conditional validity of inductive conformal predictors. 475-490 - Jiang Wang, Junsong Yuan, Zhuoyuan Chen, Ying Wu:
Spatial Locality-Aware Sparse Coding and Dictionary Learning. 491-505 - Weijia Wang, Michèle Sebag:
Multi-objective Monte-Carlo Tree Search. 507-522 - Hao Yang, Jianxin Wu:
Practical Large Scale Classification with Additive Kernels. 523-538 - Shota Yasutake, Kohei Hatano, Eiji Takimoto, Masayuki Takeda:
Online Rank Aggregation. 539-553 - Joey Tianyi Zhou, Sinno Jialin Pan, Qi Mao, Ivor W. Tsang:
Multi-view Positive and Unlabeled Learning. 555-570
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