IJCAI 2013

488 papers

Protein Function Prediction via Laplacian Network Partitioning Incorporating Function Category Correlations

Hua Wang, Heng Huang, Chris Ding

without Explicitly Constructing Gene Regulatory Networks

Utku Sirin, Faruk Polat, Reda Alhajj

Predicting Human Strategic Decisions Using Facial Expressions

Noam Peled, Moshe Bitan, Joseph Keshet, Sarit Kraus

Probabilistic Equivalence Verification Approach for Automatic Mathematical Solution Assessment

Minh Luan Nguyen, Siu Cheung Hui, Alvis C. M. Fong

TutorialPlan: Automated Tutorial Generation from CAD Drawings

Wei Li, Yuanlin Zhang, George Fitzmaurice

A Cutoff Technique for the Verification of Parameterised Interpreted Systems with Parameterised Environments

Panagiotis Kouvaros, Alessio Lomuscio

Robust Median Reversion Strategy for On-Line Portfolio Selection

Dingjiang Huang, Junlong Zhou, Bin Li, Steven C. H. Hoi, Shuigeng Zhou

A Brain-Computer Interface to a Plan-Based Narrative

Stephen W. Gilroy, Julie Porteous, Fred Charles, Marc Cavazza, Eyal Soreq

Personalized Diagnosis for Over-Constrained Problems

Alexander Felfernig, Monika Schubert, Stefan Reiterer

Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity

Hui Fang, Yang Bao, Jie Zhang

Automated Grading of DFA Constructions

Rajeev Alur, Loris D’Antoni, Sumit Gulwani, Dileep Kini, Mahesh Viswanathan

Automatically Generating Problems and Solutions for Natural Deduction

Umair Z. Ahmed, Sumit Gulwani, Amey Karkare

Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework

Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi

Persistent Homology: An Introduction and a New Text Representation for Natural Language Processing

Xiaojin Zhu

Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation

Tianyi Zhou, Dacheng Tao

Accurate Probability Calibration for Multiple Classifiers

Leon Wenliang Zhong, James T. Kwok

Adaptive Error-Correcting Output Codes

Guoqiang Zhong, Mohamed Cheriet

Lazy Paired Hyper-Parameter Tuning

Alice X. Zheng, Mikhail Bilenko

Learning High-Order Task Relationships in Multi-Task Learning

Yu Zhang, Dit-Yan Yeung

Multi-View Embedding Learning for Incompletely Labeled Data

Wei Zhang, Ke ZHANG, Pan Gu, Xiangyang Xue

Online Community Detection for Large Complex Networks

Wangsheng Zhang, Gang Pan, Zhaohui Wu, Shijian Li

Semi-Supervised Learning with Manifold Fitted Graphs

Tongtao Zhang, Rongrong Ji, Wei Liu, Dacheng Tao, Gang Hua

Sparse Reconstruction for Weakly Supervised Semantic Segmentation

Ke ZHANG, Wei Zhang, Yingbin Zheng, Xiangyang Xue

Bilevel Visual Words Coding for Image Classification

Jiemi Zhang, Chenxia Wu, Deng Cai, Jianke Zhu

Learning Domain Differences Automatically for Dependency Parsing Adaptation

Mo Yu, Tiejun Zhao, Yalong Bai

Protein Function Prediction by Integrating Multiple Kernels

Guoxian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zili Zhang

Multi-Instance Multi-Label Learning with Weak Label

Shu-Jun Yang, Yuan Jiang, Zhi-Hua Zhou

Smart Hashing Update for Fast Response

Qiang Yang, Long-Kai Huang, Wei-Shi Zheng, Yingbiao Ling

Multi-View Discriminant Transfer Learning

Pei Yang, Wei Gao

Reduced Heteroscedasticity Linear Regression for Nyström Approximation

Hao Yang, Jianxin Wu

On Robust Estimation of High Dimensional Generalized Linear Models

Eunho Yang, Ambuj Tewari, Pradeep Ravikumar

Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data

Makoto Yamada, Akisato Kimura, Futoshi Naya, Hiroshi Sawada

Harmonious Hashing

Bin Xu, Jiajun Bu, Yue Lin, Chun Chen, Xiaofei He

A Probabilistic Approach to Latent Cluster Analysis

Zhipeng Xie, Rui Dong, Zhengheng Deng, Zhenying He, Weidong Yang

Multi-Modal Distance Metric Learning

Pengtao Xie, Eric P. Xing

A Theoretic Framework of K-Means-Based Consensus Clustering

Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao

Euler Clustering

Jian-Sheng Wu, Wei-Shi Zheng, Jian-Huang Lai

Deep Feature Learning Using Target Priors with Applications in ECoG Signal Decoding for BCI

Zuoguan Wang, Siwei Lyu, Gerwin Schalk, Qiang Ji

Bayesian Optimization in High Dimensions via Random Embeddings

Ziyu Wang, Masrour Zoghi, Frank Hutter, David Matheson, Nando de Freitas

A KNN Based Kalman Filter Gaussian Process Regression

Yali Wang, Brahim Chaib-draa

Nonconvex Relaxation Approaches to Robust Matrix Recovery

Shusen Wang, Dehua Liu, Zhihua Zhang

Online Group Feature Selection

Jing Wang, Zhong-Qiu Zhao, Xuegang Hu, Yiu-ming Cheung, Meng Wang

Large Scale Online Kernel Classification

Jialei Wang, Steven C. H. Hoi, Peilin Zhao, Jinfeng Zhuang, Zhi-Yong Liu

Manifold Alignment Preserving Global Geometry

Chang Wang, Sridhar Mahadevan

Coupled Attribute Analysis on Numerical Data

Can Wang, Zhong She, Longbing Cao

Multi Class Learning with Individual Sparsity

Ben Zion Vatashsky, Koby Crammer

Linear Bayesian Reinforcement Learning

Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas

Non-Negative Multiple Matrix Factorization

Koh Takeuchi, Katsuhiko Ishiguro, Akisato Kimura, Hiroshi Sawada

Multi-View Maximum Entropy Discrimination

Shiliang Sun, Guoqing Chao

Unlearning from Demonstration

Keith Sullivan, Ahmed ElMolla, Bill Squires, Sean Luke

Measuring Statistical Dependence via the Mutual Information Dimension

Mahito Sugiyama, Karsten M. Borgwardt

One-Class Conditional Random Fields for Sequential Anomaly Detection

Yale Song, Zhen Wen, Ching-Yung Lin, Randall Davis

Hartigan’s K-Means Versus Lloyd’s K-Means — Is It Time for a Change?

Noam Slonim, Ehud Aharoni, Koby Crammer

Guarantees of Augmented Trace Norm Models in Tensor Recovery

Ziqiang Shi, Jiqing Han, Tieran Zheng, Ji Li

Supervised Hypothesis Discovery Using Syllogistic Patterns in the Biomedical Literature

Kazuhiro Seki, Kuniaki Uehara

Better Generalization with Forecasts

Tom Schaul, Mark Ring

Multi-Dimensional Causal Discovery

Ulrich Schaechtle, Kostas Stathis, Stefano Bromuri

Weighted Path as a Condensed Pattern in a Single Attributed DAG

Jérémy Sanhes, Frédéric Flouvat, Nazha Selmaoui-Folcher, Claude Pasquier, Jean-François Boulicaut

Machine-Learning-Based Circuit Synthesis

Lior Rokach, Meir Kalech, Gregory Provan, Alexander Feldman

Path Integral Control by Reproducing Kernel Hilbert Space Embedding

Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar

Robust Unsupervised Feature Selection

Mingjie Qian, ChengXiang Zhai

Active Learning from Relative Queries

Buyue Qian, Xiang Wang, Fei Wang, Hongfei Li, Jieping Ye

Multiple Task Learning Using Iteratively Reweighted Least Square

Jian Pu, Yu-Gang Jiang, Jun Wang, Xiangyang Xue

A Scalable Approach to Column-Based Low-Rank Matrix Approximation

Yifan Pi, Haoruo Peng, Shuchang Zhou, Zhihua Zhang

Hierarchical Bayesian Matrix Factorization with Side Information

Sunho Park, Yong-Deok Kim, Seungjin Choi

Graph Classification with Imbalanced Class Distributions and Noise

Shirui Pan, Xingquan Zhu

Annealed Importance Sampling for Structure Learning in Bayesian Networks

Teppo Niinimäki, Mikko Koivisto

Early Active Learning via Robust Representation and Structured Sparsity

Feiping Nie, Hua Wang, Heng Huang, Chris Ding

Adaptive Loss Minimization for Semi-Supervised Elastic Embedding

Feiping Nie, Hua Wang, Heng Huang, Chris Ding

Multi-Modal Image Annotation with Multi-Instance Multi-Label LDA

Cam-Tu Nguyen, De-Chuan Zhan, Zhi-Hua Zhou

Meta-Interpretive Learning of Higher-Order Dyadic Datalog: Predicate Invention Revisited

Stephen Muggleton, Dianhuan Lin

Statistical Tests for the Detection of the Arrow of Time in Vector Autoregressive Models

Pablo Morales-Mombiela, Daniel Hernández-lobato, Alberto Suárez

An Empirical Investigation of Ceteris Paribus Learnability

Loizos Michael, Elena Papageorgiou

Thinking of Images as What They Are: Compound Matrix Regression for Image Classification

Zhigang Ma, Yi Yang, Feiping Nie, Nicu Sebe

Learning Descriptive Visual Representation by Semantic Regularized Matrix Factorization

Zhiwu Lu, Yuxin Peng

Learning Canonical Correlations of Paired Tensor Sets Via Tensor-to-Vector Projection

Haiping Lu

The Multi-Feature Information Bottleneck with Application to Unsupervised Image Categorization

Zhengzheng Lou, Yangdong Ye, Xiaoqiang Yan

Online Expectation Maximization for Reinforcement Learning in POMDPs

Miao Liu, Xuejun Liao, Lawrence Carin

Learning Discriminative Representations from RGB-D Video Data

Li Liu, Ling Shao

Large-Scale Spectral Clustering on Graphs

Jialu Liu, Chi Wang, Marina Danilevsky, Jiawei Han

Active Learning with Multi-Label SVM Classification

Xin Li, Yuhong Guo

Low-Rank Coding with b-Matching Constraint for Semi-Supervised Classification

Sheng Li, Yun Fu

A Bayesian Factorised Covariance Model for Image Analysis

Jun Li, Dacheng Tao

Adaptive Thresholding in Structure Learning of a Bayesian Network

Boaz Lerner, Michal Afek, Rafi Bojmel

Active Learning for Teaching a Robot Grounded Relational Symbols

Johannes Kulick, Marc Toussaint, Tobias Lang, Manuel Lopes

Causal Inference with Rare Events in Large-Scale Time-Series Data

Samantha Kleinberg

Prior-Free Exploration Bonus for and beyond Near Bayes-Optimal Behavior

Kenji Kawaguchi, Hiroshi Sato

Discovering Different Types of Topics: Factored Topic Models

Yun Jiang, Ashutosh Saxena

Online Hashing

Long-Kai Huang, Qiang Yang, Wei-Shi Zheng

Active Learning via Neighborhood Reconstruction

Yao Hu, Debing Zhang, Zhongming Jin, Deng Cai, Xiaofei He

Efficient Kernel Learning from Side Information Using ADMM

En-Liang Hu, James T. Kwok

What Users Care About: A Framework for Social Content Alignment

Lei Hou, Juanzi Li, Xiaoli Li, Jiangfeng Qu, Xiaofei Guo

A General Framework for Interacting Bayes-Optimally with Self-Interested Agents Using Arbitrary Parametric Model and Model Prior

Trong Nghia Hoang, Kian Hsiang Low

Improving Traffic Prediction with Tweet Semantics

Jingrui He, Wei Shen, Phani Divakaruni, Laura Wynter, Rick Lawrence

Co-Regularized Ensemble for Feature Selection

Yahong Han, Yi Yang, Xiaofang Zhou

Probabilistic Multi-Label Classification with Sparse Feature Learning

Yuhong Guo, Wei Xue

MiningZinc: A Modeling Language for Constraint-based Mining

Tias Guns, Anton Dries, Guido Tack, Siegfried Nijssen, Luc De Raedt

Multi-Prototype Label Ranking with Novel Pairwise-to-Total-Rank Aggregation

Mihajlo Grbovic, Nemanja Djuric, Slobodan Vucetic

Histogram of Oriented Displacements (HOD): Describing Trajectories of Human Joints for Action Recognition

Mohammad A. Gowayyed, Marwan Torki, Mohamed E. Hussein, Motaz El-Saban

Active Learning for Level Set Estimation

Alkis Gotovos, Nathalie Casati, Gregory Hitz, Andreas Krause