• 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 58 matches

• 2024
• 
  Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu:
  Inductive Attributed Community Search: to Learn Communities across Graphs. Proc. VLDB Endow. 17(10): 2576-2589 (2024)
• 
  Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah D. Goodman:
  Hypothesis Search: Inductive Reasoning with Language Models. ICLR 2024
• 2023
• 
  Edward McDaid, Sarah McDaid:
  Shrinking the Inductive Programming Search Space with Instruction Subsets. ICAART (3) 2023: 578-585
• 
  Hamed R. Bonab, Ashutosh Joshi, Ravi Bhatia, Ankit Gandhi, Vijay Huddar, Juhi Naik, Mutasem Al-Darabsah, Choon Hui Teo, Jonathan May, Tarun Agarwal, Vaclav Petricek:
  Blend and Match: Distilling Semantic Search Models with Different Inductive Biases and Model Architectures. WWW (Companion Volume) 2023: 869-877
• 
  Edward McDaid, Sarah McDaid:
  Shrinking the Inductive Programming Search Space with Instruction Subsets. CoRR abs/2302.05226 (2023)
• 
  Edward McDaid, Sarah McDaid:
  Further Decimating the Inductive Programming Search Space with Instruction Digrams. CoRR abs/2305.13347 (2023)
• 
  Hong Liu:
  Sparse-Inductive Generative Adversarial Hashing for Nearest Neighbor Search. CoRR abs/2306.06928 (2023)
• 
  Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah D. Goodman:
  Hypothesis Search: Inductive Reasoning with Language Models. CoRR abs/2309.05660 (2023)
• 2022
• 
  Stephen Friess:
  Inductive biases and metaknowledge representations for search-based optimization. University of Birmingham, UK, 2022
• 
  Mark Law, Krysia Broda, Alessandra Russo:
  Search Space Expansion for Efficient Incremental Inductive Logic Programming from Streamed Data. IJCAI 2022: 2697-2704
• 2021
• 
  Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song:
  Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. CIKM 2021: 2201-2210
• 
  Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song:
  Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. CoRR abs/2109.01549 (2021)
• 2019
• 
  Bakhtiyar Syed, Vijayasaradhi Indurthi, Manish Gupta, Manish Shrivastava, Vasudeva Varma:
  Inductive Transfer Learning for Detection of Well-Formed Natural Language Search Queries. ECIR (2) 2019: 45-52
• 
  Aishwarya Sivaraman, Tianyi Zhang, Guy Van den Broeck, Miryung Kim:
  Active inductive logic programming for code search. ICSE 2019: 292-303
• 2018
• 
  Viacheslav V. Zosimov, Oleksandra S. Bulgakova:
  Usage of Inductive Algorithms for Building a Search Results Ranking Model Based on Visitor Rating Evaluations. CSIT (1) 2018: 466-469
• 
  Aishwarya Sivaraman, Tianyi Zhang, Guy Van den Broeck, Miryung Kim:
  Active Inductive Logic Programming for Code Search. CoRR abs/1812.05265 (2018)
• 2016
• 
  Volodymyr Stepashko, Olha Moroz:
  Hybrid searching GMDH-GA algorithm for solving inductive modeling tasks. DSMP 2016: 350-355
• 2015
• 
  Viacheslav V. Zosimov, Volodymyr Stepashko, Oleksandra S. Bulgakova:
  Inductive Building of Search Results Ranking Models to Enhance the Relevance of Text Information Retrieval. DEXA Workshops 2015: 291-295
• 
  Behnam Neyshabur, Ryota Tomioka, Nathan Srebro:
  In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning. ICLR (Workshop) 2015
• 2013
• 
  Claude Kirchner, Hélène Kirchner, Fabrice Nahon:
  Narrowing Based Inductive Proof Search. Programming Logics 2013: 216-238
• 
  Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz:
  Semantic Web Search and Inductive Reasoning. URSW (LNCS Vol.) 2013: 237-261
• 2012
• 
  Domenico Corapi:
  Nonmonotonic inductive logic programming as abductive search. Imperial College London, UK, 2012
• 
  Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz:
  Ontology-based semantic search on the Web and its combination with the power of inductive reasoning. Ann. Math. Artif. Intell. 65(2-3): 83-121 (2012)
• 2011
• 
  Emanuel Kitzelmann:
  A Combined Analytical and Search-Based Approach for the Inductive Synthesis of Functional Programs. Künstliche Intell. 25(2): 179-182 (2011)
• 
  Hidekazu Kaminishi, Shusuke Suzuki, Asuka Terai, Masanori Nakagawa:
  Construction of Japanese Search Engine Based on Computational Model of Inductive Reasoning. ICCE 2011
• 2010
• 
  Emanuel Kitzelmann:
  A Combined Analytical and Search-Based Approach to the Inductive Synthesis of Functional Programs. University of Bamberg, 2010, pp. I-XXI, 1-187
• 
  Madhu Kumari, Kamal Kant Bharadwaj:
  Revenue Estimation and Quantification in Sponsored Search Auctions: An Inductive Learning Approach. ICDEM 2010: 242-244
• 
  Domenico Corapi, Alessandra Russo, Emil Lupu:
  Inductive Logic Programming as Abductive Search. ICLP (Technical Communications) 2010: 54-63
• 
  Claudia d'Amato, Floriana Esposito, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz:
  Inductive reasoning and semantic web search. SAC 2010: 1446-1447
• 
  Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz:
  Combining Semantic Web Search with the Power of Inductive Reasoning. SUM 2010: 137-150

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