• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 64 matches

• 2024
• 
  Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye:
  FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference. CoRR abs/2410.20105 (2024)
• 2020
• 
  Shi Yu, Yuxin Chen, Chaosheng Dong:
  Learning Time Varying Risk Preferences from Investment Portfolios using Inverse Optimization with Applications on Mutual Funds. CoRR abs/2010.01687 (2020)
• 
  Alex Warstadt, Yian Zhang, Haau-Sing Li, Haokun Liu, Samuel R. Bowman:
  Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually). CoRR abs/2010.05358 (2020)
• 
  Huixin Zhan, Feng Tao, Yongcan Cao:
  Human-guided Robot Behavior Learning: A GAN-assisted Preference-based Reinforcement Learning Approach. CoRR abs/2010.07467 (2020)
• 
  Raphael Köster, Kevin R. McKee, Richard Everett, Laura Weidinger, William S. Isaac, Edward Hughes, Edgar A. Duéñez-Guzmán, Thore Graepel, Matthew M. Botvinick, Joel Z. Leibo:
  Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences. CoRR abs/2010.09054 (2020)
• 
  Zheda Mai, Ga Wu, Kai Luo, Scott Sanner:
  Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering. CoRR abs/2010.12803 (2020)
• 
  Azlan Iqbal:
  A Novel Machine Learning Method for Preference Identification. CoRR abs/2010.13517 (2020)
• 
  Cory J. Hayes, Matthew Marge:
  Towards Preference Learning for Autonomous Ground Robot Navigation Tasks. CoRR abs/2010.16361 (2020)
• 2010
• 
  Yunsong Guo:
  Supervised learning with implicit preferences and constraints. Cornell University, USA, 2010
• 
  David Silver:
  Learning Preference Models for Autonomous Mobile Robots in Complex Domains. Carnegie Mellon University, USA, 2010
• 
  Frédéric Koriche, Bruno Zanuttini:
  Learning conditional preference networks. Artif. Intell. 174(11): 685-703 (2010)
• 
  Yao-Hsien Chen, Ching-Hsue Cheng, Jing-Wei Liu:
  Intelligent preference selection model based on NRE for evaluating student learning achievement. Comput. Educ. 54(4): 916-926 (2010)
• 
  David Zellhöfer, Ingo Schmitt:
  A preference-based approach for interactive weight learning: learning weights within a logic-based query language. Distributed Parallel Databases 27(1): 31-51 (2010)
• 
  Alberto Fernández, María Calderón, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
  Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations. Fuzzy Sets Syst. 161(23): 3064-3080 (2010)
• 
  Manuela Paechter, Brigitte Maier:
  Online or face-to-face? Students' experiences and preferences in e-learning. Internet High. Educ. 13(4): 292-297 (2010)
• 
  Kazunori Nishino, Yurie Iribe, Shinji Mizuno, Kumiko Aoki, Yoshimi Fukumura:
  An analysis of learning preferences and e-learning suitability for effective e-learning architecture. Intell. Decis. Technol. 4(4): 269-276 (2010)
• 
  Jane Yau, Mike Joy:
  Proposal of a Mobile Learning Preferences Model. Int. J. Interact. Mob. Technol. 4(4): 49-51 (2010)
• 
  Adriana Birlutiu, Perry Groot, Tom Heskes:
  Multi-task preference learning with an application to hearing aid personalization. Neurocomputing 73(7-9): 1177-1185 (2010)
• 
  Luis Ángel San Martín, Víctor Peláez, Roberto González, Antonio M. Campos, Vanesa Lobato:
  Environmental user-preference learning for smart homes: An autonomous approach. J. Ambient Intell. Smart Environ. 2(3): 327-342 (2010)
• 
  Kiri L. Wagstaff, Marie desJardins, Eric Eaton:
  Modelling and learning user preferences over sets. J. Exp. Theor. Artif. Intell. 22(3): 237-268 (2010)
• 
  Nir Ailon, Mehryar Mohri:
  Preference-based learning to rank. Mach. Learn. 80(2-3): 189-211 (2010)
• 
  Hilal Kazan, Debashish Ray, Esther T. Chan, Timothy R. Hughes, Quaid Morris:
  RNAcontext: A New Method for Learning the Sequence and Structure Binding Preferences of RNA-Binding Proteins. PLoS Comput. Biol. 6(7) (2010)
• 
  Héctor Pérez Martínez, Kenneth Hullett, Georgios N. Yannakakis:
  Extending neuro-evolutionary preference learning through player modeling. CIG 2010: 313-320
• 
  Orhan Çamoglu, Tian-Li Yu, Luca Bertelli, Diem Vu, Muralidharan V, Salih Gokturk:
  An efficient fashion-driven learning approach to model user preferences in on-line shopping scenarios. CVPR Workshops 2010: 28-34
• 
  Amir Hossein Khalili, Chen Wu, Hamid K. Aghajan:
  Hierarchical preference learning for light control from user feedback. CVPR Workshops 2010: 56-62
• 
  Richard Booth, Yann Chevaleyre, Jérôme Lang, Jérôme Mengin, Chattrakul Sombattheera:
  Learning conditionally lexicographic preference relations. ECAI 2010: 269-274
• 
  Hua Deng, Yongzhao Zhan, Qirong Mao:
  Knowledge Preference Based Learning Community Construction and Service Support. Edutainment 2010: 123-134
• 
  Juan Manuel Lucas-Cuesta, Javier Ferreiros, Asier Aztiria, Juan Carlos Augusto, Michael F. McTear:
  Dialogue-based Management of user Feedback in an Autonomous Preference Learning System. ICAART (1) 2010: 330-336
• 
  Elaine Pearson, Voula Gkatzidou, Steve Green:
  From a Personal Learning Environment to an Adaptable Personal Learning Environment: Meeting the Needs and Preferences of Disabled Learners. ICALT 2010: 333-335
• 
  Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G. Carbonell:
  Learning Preferences with Millions of Parameters by Enforcing Sparsity. ICDM 2010: 779-784

skipping 34 more matches