没有合适的资源?快使用搜索试试~ 我知道了~
资源推荐
资源详情
资源评论
IJCAI-2016 Accepted papers
All papers are listed with the original titles and list of authors at the time of submission.
Main Track
(7) Latent Contextual Bandits and their Application to Personalized Recommendations for
New Users
Li Zhou and Emma Brunskill
(16) Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models
Syed Abbas Zilqurnain Naqvi, Shandian Zhe, Yuan Qi and Jieping Ye
(20) Modeling contagious M&A via point processes with a profile regression prior
Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha and Xiaokang
Yang
(21) On modeling and predicting individual paper citation count over time
Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha and Xiaokang
Yang
(29) Generating Recommendation Evidence using Translation Model
Jizhou Huang, Shiqi Zhao, Mingming Sun, Shiqiang Ding, Haiyang Wu and Haifeng Wang
(32) Markov Chain Analysis of Noise and Restart in Stochastic Local Search
Ole Mengshoel, Youssef Ahres and Tong Yu
(38) Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy L1-norm Maximization
Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang and Qinghua Zheng
(39) Cost-aware Pre-training for Multiclass Cost-sensitive Deep Learning
Yu-An Chung, Hsuan-Tien Lin and Shao-Wen Yang
(45) Linear-time Outlier Detection via Sensitivity
Mario Lucic, Olivier Bachem and Andreas Krause
(46) Employing External Rich Knowledge for Machine Comprehension
Bingning Wang, Kang Liu and Jun Zhao
(54) Online Bayesian Max-margin Subspace Multi-view Learning
Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He and Guoping Long
(63) Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and
Empirical Soundness
Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu and Xingquan Zhu
(89) Improving Model Counting by Leveraging Definability
Jean Marie Lagniez, Emmanuel Lonca and Pierre Marquis
(90) Multi-view Exclusive Unsupervised Dimension Reduction for Video-based Facial
Expression Recognition
Liping Xie, Dacheng Tao and Haikun Wei
(92) Urban Water Quality Prediction based on Multi-task Multi-view Learning
Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu and David Rosenblum
(96) Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval
Zongting Lv, Yadong Mu, Wei Liu, Cheng Deng and Xinbo Gao
(120) Multiple Kernel Clustering with Local Kernel Alignment Maximization
Miaomiao Li, Xinwang Liu, Lei Wang, Yong Dou and Jianping Yin
(123) Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs
Zhilin Yang, Jie Tang and William Cohen
(130) Learning using Unselected Features (LUFe)
Joseph Taylor, Viktoriia Sharmanska, Kristian Kersting, David Weir and Novi Quadrianto
(136) Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization
Method to Multi-View Spectral Clustering
Yang Wang and Lin Wu
(144) WikiWrite: Generating Wikipedia Articles Automatically
Siddhartha Banerjee and Prasenjit Mitra
(146) Diversely Image Captioning via GroupTalk
Zhuhao Wang, Fei Wu, Jun Xiao, Xi Li, Zitong Zhang and Yueting Zhuang
(156) Computing Pareto Optimal Committees
Haris Aziz, Jérôme Lang and Jerome Monnot
(158) Expert Finding for Question Answering via Ranking Metric Network Learning
Zhou Zhao, Qifan Yang, Deng Cai, Xiaofei He and Yueting Zhuang
(166) From One Point to A Manifold: Knowledge Graph Embedding For Precise Link
Prediction
Han Xiao, Minlie Huang and Xiaoyan Zhu
(167) Robust Iterative Quantization for Efficient $\ell_{p}$-norm Similarity Search
Yuchen Guo, Guiguang Ding and Jungong Han
(169) Semi-supervised Active Learning with Cross-class Sample Transfer
Yuchen Guo
(186) Deep Subspace Clustering with Sparsity Prior
Xi Peng, Shijie Xiao, Jiashi Feng, Wei-Yun Yau and Zhang Yi
(187) DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode
at a Citywide Level
Xuan Song, Hiroshi Kanasugi and Ryosuke Shibasaki
(210) FastLCD: Fast Label Coordinate Descent for the Optimization of MRFs with Two-
Dimensional Labels
Kangwei Liu, Junge Zhang, Peipei Yang and Kaiqi Huang
(212) A Relaxed Ranking-based Factor Model for Recommender System from Implicit
Feedback
Huayu Li and Yong Ge
(223) The Role of Typicality in Object Classification: Improving The Generalization Capacity
of Convolutional Neural Networks
Babak Saleh, Ahmed Elgammal and Jacob Feldman
(235) Adaptive budget allocation for maximizing influence of advertisements
Daisuke Hatano, Takuro Fukunaga and Ken-Ichi Kawarabayashi
(236) Fast Solving Maximum Weight Clique Problem in Massive Graphs
Shaowei Cai and Jinkun Lin
(250) Constraint Detection in Natural Language Problem Descriptions
Zeynep Kiziltan, Marco Lippi and Paolo Torroni
(252) Unsupervised Human Action Categorization with Consensus Information Bottleneck
Method
Xiaoqiang Yan, Yangdong Ye and Xueying Qiu
(254) Unsupervised Learning on Neural Network Outputs
Yao Lu
(261) To Give or Not to Give: Fair Division for Strict Preferences
Simina Brânzei, Yuezhou Lv and Ruta Mehta
(266) Multi-Label Informed Feature Selection
Ling Jian, Jundong Li, Kai Shu and Huan Liu
(269) Elliptical Summary Randomisation for Sensor-based Human Activity Recognition
Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie,
James Bailey and Kotagiri Ramamohanarao
(272) Bayesian Optimization of Partition Layouts for Mondrian Processes
Yi Wang, Bin Li, Xuhui Fan, Yang Wang and Fang Chen
(273) A Unified Framework for Discrete Spectral Clustering
Yang Yang, Fumin Shen, Zi Huang and Heng Tao Shen
(274) Silk: A Simulation Study of Regulating Open Normative Multiagent Systems
Mehdi Mashayekhi, Hongying Du, George F. List and Munindar P. Singh
(285) Action Recognition with Joints-Pooled 3D Deep Convolutional Descriptors
Congqi Cao, Yifan Zhang, Chunjie Zhang and Hanqing Lu
(296) Constraint Answer Set Programming versus Satisfiability Modulo Theories Or
Constraints versus Theories
Yuliya Lierler and Benjamin Susman
(301) Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement
Learning Settings with Applications to Negative Transfer
Yusen Zhan, Haitham Bou Ammar and Matthew Taylor
(310) Sampling-Based Belief Revision
Michael Thielscher
(320) Taking up the Gaokao Challenge: An Information Retrieval Approach
Gong Cheng, Weixi Zhu, Ziwei Wang, Jianghui Chen and Yuzhong Qu
(343) Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo and Xueqi Cheng
(345) Query answering with transitive and linear-ordered data
Antoine Amarilli, Michael Benedikt, Pierre Bourhis and Michael Vanden Boom
(348) Truncating Shortest Path Search for Efficient Map-matching
Takashi Imamichi, Takayuki Osogami and Rudy Raymond
(350) Balancing Appearance and Context in Sketch Interpretation
Randall Davis, Yale Song, Kaichen Ma and Dana L. Penney
(354) Probabilistic Matrix Inspection and Group Scheduling
Hooyeon Lee and Ashish Goel
(355) Resolving Over-constrained Conditional Temporal Problems using Semantically
Similar Alternatives
Peng Yu, Jiaying Shen, Peter Yeh and Brian Williams
(362) Knowledge Representation Learning with Entities, Attributes and Relations
Yankai Lin, Zhiyuan Liu and Maosong Sun
(364) Sparse Word Embeddings Using L1 Regularized Online Learning
Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu and Xueqi Cheng
(374) Makeup like a superstar: Deep Localized Makeup Transfer Network
Si Liu, Xinyu Ou, Ruihe Qian, Wei Wang and Xiaochun Cao
(381) An ASP Semantics for Default Reasoning with Constraints
Pedro Cabalar, Roland Kaminski, Max Ostrowski and Torsten Schaub
(386) Extending the Harper Identity to Iterated Belief Change
Richard Booth and Jake Chandler
(391) Supervised Matrix Factorization for Cross-Modality Hashing
Hong Liu, Rongrong Ji, Yongjian Wu, Wei Liu and Gang Hua
(402) Collaborative Filtering with Generalized Laplacian Constraint via Overlapping
Decomposition
Qing Zhang and Houfeng Wang
(412) Hidden Parameter Markov Decision Processes: A Semiparametric Regression
Approach for Discovering Latent Task Parametrizations
Finale Doshi-Velez and George Konidaris
(417) Subset Selection Via Implicit Utilitarian Voting
Ioannis Caragiannis, Swaprava Nath, Ariel Procaccia and Nisarg Shah
(421) Greedy Learning of Generalized Low-Rank Models
Quanming Yao and James.T Kwok
(426) Fast Learning from Distributed Datasets without Entity Matching
Giorgio Patrini, Richard Nock, Stephen Hardy and Tiberio Caetano
(429) Bag-of-Embeddings for Text Classification
Peng Jin, Yue Zhang, Xingyuan Chen and Yunqing Xia
(437) Exploring the Context of Locations for Personalized Location Recommendations
Xin Liu and Yong Liu
(438) Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction
Yin Yichun, Wei Furu, Dong Li, Xu Kaimeng, Zhang Ming and Zhou Ming
(440) Dependency Clustering of Mixed Data with Gaussian Mixture Copulas
Vaibhav Rajan and Sakyajit Bhattacharya
(448) Highly Accurate Gaze Estimation using a Consumer RGB+Depth Sensor
Reza Shoja Ghiass and Ognjen Arandjelovic
(453) Group-Invariant Cross-Modal Subspace Learning
Jian Liang, Ran He, Zhenan Sun and Tieniu Tan
(462) Semi-Supervised Multimodal Deep Learning for RGB-D Object Recognition
Yanhua Cheng, Rui Cai, Xin Zhao and Kaiqi Huang
(463) Context-Specific and Multi-Prototype Character Representations
Xiaoqing Zheng, Jiangtao Feng and Wenqiang Zhang
(467) Neural Enquirer: Learning to Query Tables in Natural Language
Pengcheng Yin, Zhengdong Lu, Hang Li and Ben Kao
(470) Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback
Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie and Hui Xiong
(478) Decision-Making Policies for Heterogeneous Autonomous Multi-Agent Systems with
Safety Constraints
Ruohan Zhang, Yue Yu, Mahmoud El Chamie, Behcet Acikmese and Dana Ballard
(480) Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe
Method
Bo Liu, Xiaotong Yuan, Shaoting Zhang, Qingshan Liu and Dimitris Metaxas
(488) Ordinal Regression for Learning Planning Heuristics
Caelan Garrett, Leslie Kaelbling and Tomas Lozano-Perez
(489) Text-enhanced Representation Learning for Knowledge Graph
Zhigang Wang and Juanzi Li
(495) Maximum Sustainable Yield Problem for Robot Foraging and Construction System
Ruohan Zhang
(523) MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering
Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen Chu and Li Shang
(524) Clustering-based Joint Feature Selection for Semantic Attribute Prediction
Lin Chen and Baoxin Li
(529) Diagnosability of Discrete-Event Systems with Uncertain Observations
Xingyu Su, Marina Zanella and Alban Grastien
(538) Building Joint Spaces for Relation Extraction
Chang Wang, Liangliang Cao and James Fan
(554) Interactive Martingale Boosting
Ashish Kulkarni, Pushpak Burange and Ganesh Ramakrishnan
(555) Forgetting Concept and Role Symbols in ALCOIHmu+(top, and, or)-Ontologies
Yizheng Zhao and Renate A. Schmidt
(565) Non-negative Matrix Factorization with Sinkhorn Distance
Wei Qian, Bin Hong, Deng Cai and Xiaofei He
(572) A Generative Model for Recognizing Mixed Group Activities in Still Images
Zheng Zhou, Kan Li, Xiangjian He and Mengmeng Li
(575) ST-MVL: Filling Missing Values in Geo-sensory Time Series Data
Yi Xiuwen, Zheng Yu, Zhang Junbo and Li Tianrui
(586) Self-Paced Boost Learning for Classification
Te Pi, Xi Li, Zhongfei Zhang, Deyu Meng, Fei Wu, Jun Xiao and Yueting Zhuang
(587) Saliency Transfer: An Example-Based Method for Salient Object Detection
Xin Li, Fan Yang, Leiting Chen and Hongbin Cai
(591) Interdependent Scheduling Games
Andres Abeliuk, Haris Aziz, Gerardo Berbeglia, Serge Gaspers, Petr Kalina, Nicholas Mattei,
Dominik Peters, Paul Stursberg, Pascal Van Hentenryck and Toby Walsh
(602) Digital Good Exchange
Wenyi Fang, Pingzhong Tang and Song Zuo
(603) Word Clouds with Latent Variable Analysis for Visual Comparison of Documents
Tuan Le and Hady Lauw
(626) POISketch: Semantic Place Labeling over User Activity Streams
Dingqi Yang, Bin Li and Philippe Cudré-Mauroux
(630) Large Scale Sparse Clustering
Ruqi Zhang and Zhiwu Lu
(639) Feature Learning based Deep Supervised Hashing with Pairwise Labels
Wu-Jun Li, Sheng Wang and Wang-Cheng Kang
(640) Semantic Analysis for Crowded Scenes Based on Non-Parametric Tracklet Clustering
Allam S. Hassanein, Mohamed E. Hussein and Walid Gomaa
(641) Towards Convolutional Neural Networks Compressing via Global Error
Reconstruction
Shaohui Lin, Rongrong Ji, Yongjian Wu and Xuelong Li
(643) A Self-representation induced Classifier
Pengfei Zhu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng and Qinghua Hu
(650) What are Where: Inferring Containment Relations from Videos
Wei Liang, Yixin Zhu and Songchu Zhu
(655) Agreement-based Joint Training for Bidirectional Attention-based Neural Machine
Translation
Yong Cheng, Shiqi Shen, Zhongjun He, Wei He, Hua Wu, Maosong Sun and Yang Liu
(659) Norm Monitoring with Incomplete Observations
Natalia Criado and Jose M. Such
(677) Parameter-free Auto-weighted Multiple Graph Learning: A Framework for Clustering
and Semi-supervised Classification
Feiping Nie, Jing Li and Xuelong Li
(680) Semantics-aware Deep Correspondence Structure Learning for Robust Person Re-
identification
Yaqing Zhang, Xi Li, Liming Zhao and Zhongfei Zhang
(683) Maintaining Evolving Domain Models
Daniel Bryce, J. Benton and Michael Boldt
(691) A network-based rating system and its resistance to bribery
Umberto Grandi and Paolo Turrini
(700) Distance-Preserving Probabilistic Embeddings with Side Information: Variational
Bayesian Multidimensional Scaling Gaussian Process
Harold Soh
(702) Clustering Financial Time Series: How Long is Enough?
剩余24页未读,继续阅读
资源评论
园园姐
- 粉丝: 2
- 资源: 4
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功