ACML 2012

36 papers

A Convex-Concave Relaxation Procedure Based Subgraph Matching Algorithm Zhi-Yong Liu, Hong Qiao

A Coupled Indian Buffet Process Model for Collaborative Filtering Sotirios P. Chatzis

A Note on Metric Properties for Some Divergence Measures: The Gaussian Case Karim T. Abou-Moustafa, Frank P. Ferrie

A Ranking-Based KNN Approach for Multi-Label Classification Tsung-Hsien Chiang, Hung-Yi Lo, Shou-De Lin

A Stochastic Bandit Algorithm for Scratch Games Raphaël Féraud, Tanguy Urvoy

Active Learning with Hinted Support Vector Machine Chun-Liang Li, Chun-Sung Ferng, Hsuan-Tien Lin

AIC and BIC Based Approaches for SVM Parameter Value Estimation with RBF Kernels Sergey Demyanov, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie

Conditional Validity of Inductive Conformal Predictors Vladimir Vovk

Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis Truyen Tran, Dinh Phung, Svetha Venkatesh

Frustratingly Simplified Deployment in WLAN Localization by Learning from Route Annotation Ryoma Kawajiri, Masamichi Shimosaka, Rui Fukui, Tonomasa Sato

Improved Sequence Classification Using Adaptive Segmental Sequence Alignment Shahriar Shariat, Vladimir Pavlovic

Key Instance Detection in Multi-Instance Learning Guoqing Liu, Jianxin Wu, Zhi-Hua Zhou

Learning and Model-Checking Networks of I/O Automata Hua Mao, Manfred Jaeger

Learning from Ordered Sets and Applications in Collaborative Ranking Truyen Tran, Dinh Phung, Svetha Venkatesh

Learning Latent Variable Models by Pairwise Cluster Comparison Nuaman Asbeh, Boaz Lerner

Learning Temporal Association Rules on Symbolic Time Sequences Mathieu Guillame-Bert, James L. Crowley

Local Kernel Density Ratio-Based Feature Selection for Outlier Detection Fatemeh Azmandian, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli

Max-Margin Ratio Machine Suicheng Gu, Yuhong Guo

More Is Better: Large Scale Partially-Supervised Sentiment Classification Yoav Haimovitch, Koby Crammer, Shie Mannor

Multi-Objective Monte-Carlo Tree Search Weijia Wang, Michèle Sebag

Multi-Stage Classifier Design Kirill Trapeznikov, Venkatesh Saligrama, David Castañón

Multi-View Positive and Unlabeled Learning Joey Tianyi Zhou, Sinno Jialin Pan, Qi Mao, Ivor W. Tsang

Multiresolution Mixture Modeling Using Merging of Mixture Components Prem Raj Adhikari, Jaakko Hollmén

On Using Nearly-Independent Feature Families for High Precision and Confidence Omid Madani, Manfred Georg, David A. Ross

Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection Wentao Fan, Nizar Bouguila

Online Rank Aggregation Shota Yasutake, Kohei Hatano, Eiji Takimoto, Masayuki Takeda

Practical Large Scale Classification with Additive Kernels Hao Yang, Jianxin Wu

QBoost: Large Scale Classifier Training withAdiabatic Quantum Optimization Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready

Recovering Networks from Distance Data Sandhya Prabhakaran, Karin J. Metzner, Alexander Böhm, Volker Roth

Sparse Additive Matrix Factorization for Robust PCA and Its Generalization Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan

Spatial Locality-Aware Sparse Coding and Dictionary Learning Jiang Wang, Junsong Yuan, Zhouyuan Chen, Ying Wu

Statistical Models for Exploring Individual Email Communication Behavior Nicholas Navaroli, Christopher DuBois, Padhraic Smyth

Supervised Dimension Reduction with Topic Models Khoat Than, Tu Bao Ho, Duy Khuong Nguyen, Ngoc Khanh Pham

Topographic Analysis of Correlated Components Hiroaki Sasaki, Michael U. Gutmann, Hayaru Shouno, Aapo Hyvärinen

Two-Way Parallel Class Expression Learning An C. Tran, Jens Dietrich, Hans W. Guesgen, Stephen Marsland

Variational Bayesian Matching Arto Klami