ACML 2012

36 papers

Multi-view Positive and Unlabeled Learning

Joey Tianyi Zhou, Sinno Jialin Pan, Qi Mao, Ivor W. Tsang

Online Rank Aggregation

Shota Yasutake, Kohei Hatano, Eiji Takimoto, Masayuki Takeda

Practical Large Scale Classification with Additive Kernels

Hao Yang, Jianxin Wu

Multi-objective Monte-Carlo Tree Search

Weijia Wang, Michele Sebag

Spatial Locality-Aware Sparse Coding and Dictionary Learning

Jiang Wang, Junsong Yuan, Zhouyuan Chen, Ying Wu

Conditional Validity of Inductive Conformal Predictors

Vladimir Vovk

Multi-Stage Classifier Design

Kirill Trapeznikov, Venkatesh Saligrama, David Castañón

Two-way Parallel Class Expression Learning

An C. Tran, Jens Dietrich, Hans W. Guesgen, Stephen Marsland

Learning From Ordered Sets and Applications in Collaborative Ranking

Truyen Tran, Dinh Phung, Svetha Venkatesh

Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis

Truyen Tran, Dinh Phung, Svetha Venkatesh

Supervised Dimension Reduction with Topic Models

Khoat Than, Tu Bao Ho, Duy Khuong Nguyen, Ngoc Khanh Pham

Improved Sequence Classification Using Adaptive Segmental Sequence Alignment

Shahriar Shariat, Vladimir Pavlovic

Topographic Analysis of Correlated Components

Hiroaki Sasaki, Michael U. Gutmann, Hayaru Shouno, Aapo Hyvärinen

Recovering Networks from Distance Data

Sandhya Prabhakaran, Karin J. Metzner, Alexander Böhm, Volker Roth

QBoost: Large Scale Classifier Training withAdiabatic Quantum Optimization

Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready

Statistical Models for Exploring Individual Email Communication Behavior

Nicholas Navaroli, Christopher DuBois, Padhraic Smyth

Sparse Additive Matrix Factorization for Robust PCA and Its Generalization

Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan

Learning and Model-Checking Networks of I/O Automata

Hua Mao, Manfred Jaeger

On Using Nearly-Independent Feature Families for High Precision and Confidence

Omid Madani, Manfred Georg, David A. Ross

Key Instance Detection in Multi-Instance Learning

Guoqing Liu, Jianxin Wu, Zhi-Hua Zhou

A Convex-Concave Relaxation Procedure Based Subgraph Matching Algorithm

Zhi-Yong Liu, Hong Qiao

Active Learning with Hinted Support Vector Machine

Chun-Liang Li, Chun-Sung Ferng, Hsuan-tien Lin

Variational Bayesian Matching

Arto Klami

Frustratingly Simplified Deployment in WLAN Localization by Learning from Route Annotation

Ryoma Kawajiri, Masamichi Shimosaka, Rui Fukui, Tonomasa Sato

More Is Better: Large Scale Partially-supervised Sentiment Classification

Yoav Haimovitch, Koby Crammer, Shie Mannor

Learning Temporal Association Rules on Symbolic Time Sequences

Mathieu Guillame-Bert, James L. Crowley

Max-Margin Ratio Machine

Suicheng Gu, Yuhong Guo

A Stochastic Bandit Algorithm for Scratch Games

Raphaël Féraud, Tanguy Urvoy

Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection

Wentao Fan, Nizar Bouguila

AIC and BIC based approaches for SVM parameter value estimation with RBF kernels

Sergey Demyanov, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie

A Ranking-based KNN Approach for Multi-Label Classification

Tsung-Hsien Chiang, Hung-Yi Lo, Shou-De Lin

A Coupled Indian Buffet Process Model for Collaborative Filtering

Sotirios P. Chatzis

Local Kernel Density Ratio-Based Feature Selection for Outlier Detection

Fatemeh Azmandian, Jennifer G. Dy, Javed A. Aslam, David R. Kaeli

Learning Latent Variable Models by Pairwise Cluster Comparison

Nuaman Asbeh, Boaz Lerner

Multiresolution Mixture Modeling using Merging of Mixture Components

Prem Raj Adhikari, Jaakko Hollmén

A Note on Metric Properties for Some Divergence Measures: The Gaussian Case

Karim T. Abou-Moustafa, Frank P. Ferrie