Papers
8,127 papers found
Large-scale Online Kernel Learning with Random Feature Reparameterization
Tu Dinh Nguyen, Trung Le, Hung Bui et al.
Large-scale Subspace Clustering by Fast Regression Coding
Jun Li, Handong Zhao, Zhiqiang Tao et al.
Lazy-Grounding for Answer Set Programs with External Source Access
Thomas Eiter, Tobias Kaminski, Antonius Weinzierl
Learning a Ground Truth Ranking Using Noisy Approval Votes
Ioannis Caragiannis, Evi Micha
Learning and Applying Case Adaptation Rules for Classification: An Ensemble Approach
Vahid Jalali, David Leake, Najmeh Forouzandehmehr
Learning-Based Abstractions for Nonlinear Constraint Solving
Sumanth Dathathri, Nikos Arechiga, Sicun Gao et al.
Learning Concise Representations of Users' Influences through Online Behaviors
Shenghua Liu, Houdong Zheng, Huawei Shen et al.
Learning Conversational Systems that Interleave Task and Non-Task Content
Zhou Yu, Alexander Rudnicky, Alan Black
Learning Co-Substructures by Kernel Dependence Maximization
Sho Yokoi, Daichi Mochihashi, Ryo Takahashi et al.
Learning deep structured network for weakly supervised change detection
Salman Khan, Xuming He, Fatih Porikli et al.
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation
Yuguang Yan, Wen Li, Michael Ng et al.
Learning Discriminative Recommendation Systems with Side Information
Feipeng Zhao, Yuhong Guo
Learning Feature Engineering for Classification
Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana et al.
Learning from Demonstrations with High-Level Side Information
Min Wen, Ivan Papusha, Ufuk Topcu
Learning from Ontology Streams with Semantic Concept Drift
Jiaoyan Chen, Freddy Lecue, Jeff Z. Pan et al.
Learning Hedonic Games
Jakub Sliwinski, Yair Zick
Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection
Guansong Pang, Longbing Cao, Ling Chen et al.
Learning Latest Classifiers without Additional Labeled Data
Atsutoshi Kumagai, Tomoharu Iwata
Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps
Han-Jia Ye, De-Chuan Zhan, Xue-Min Si et al.
Learning Multi-faceted Knowledge Graph Embeddings for Natural Language Processing
Muhao Chen, Carlo Zaniolo
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation
Tong Shen, Guosheng Lin, Chunhua Shen et al.
Learning Sentence Representation with Guidance of Human Attention
Shaonan Wang, Jiajun Zhang, Chengqing Zong
Learning Sparse Representations in Reinforcement Learning with Sparse Coding
Lei Le, Raksha Kumaraswamy, Martha White
Learning to Explain Entity Relationships by Pairwise Ranking with Convolutional Neural Networks
Jizhou Huang, Wei Zhang, Shiqi Zhao et al.