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Volumn WS-08-13, Issue , 2008, Pages 13-18

Deep transfer via second-order Markov logic

Author keywords

[No Author keywords available]

Indexed keywords

DIFFERENT DISTRIBUTIONS; DIFFERENT DOMAINS; HOMOPHILY; INDUCTIVE LEARNING; MARKOV LOGIC; SECOND ORDERS; STRUCTURAL REGULARITY; TARGET DOMAIN; TEST INSTANCES; TRANSFER LEARNING; USEFUL PROPERTIES;

EID: 66149190677     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (15)
  • 1
    • 0035312953 scopus 로고    scopus 로고
    • Craven, M., and Slattery, S. 2001. Relational learning with statistical predicate invention: Better models for hypertext. Machine Learning 43.
    • Craven, M., and Slattery, S. 2001. Relational learning with statistical predicate invention: Better models for hypertext. Machine Learning 43.
  • 2
    • 33646424350 scopus 로고    scopus 로고
    • An integrated approach to learning Bayesian networks of rules
    • Davis, J.; Burnside, E.; Dutra, I.; Page, D.; and Costa, V. S. 2005. An integrated approach to learning Bayesian networks of rules. In Proc. ECML'05, 84-95.
    • (2005) Proc. ECML'05 , pp. 84-95
    • Davis, J.1    Burnside, E.2    Dutra, I.3    Page, D.4    Costa, V.S.5
  • 6
    • 31844432693 scopus 로고    scopus 로고
    • Learning the structure of Markov Logic Networks
    • Kok, S., and Domingos, P. 2005. Learning the structure of Markov Logic Networks. In Proc. ICML'05, 441-448.
    • (2005) Proc. ICML'05 , pp. 441-448
    • Kok, S.1    Domingos, P.2
  • 7
    • 34547980897 scopus 로고    scopus 로고
    • Statistical predicate invention
    • Kok, S., and Domingos, P. 2007. Statistical predicate invention. In Proc. ICML'07, 433-440.
    • (2007) Proc. ICML'07 , pp. 433-440
    • Kok, S.1    Domingos, P.2
  • 8
    • 33749545442 scopus 로고    scopus 로고
    • The Alchemy system for statistical relational AI
    • Technical report, Department of Computer Science and Engineering, University of Washington, Seattle, Seattle, WA
    • Kok, S.; Sumner, M.; Richardson, M.; Singla, P.; Poon, H.; Lowd, D.; and Domingos, P. 2008. The Alchemy system for statistical relational AI. Technical report, Department of Computer Science and Engineering, University of Washington, Seattle, WA. http://-alchemy.cs.washington.edu.
    • (2008)
    • Kok, S.1    Sumner, M.2    Richardson, M.3    Singla, P.4    Poon, H.5    Lowd, D.6    Domingos, P.7
  • 9
    • 34547989609 scopus 로고    scopus 로고
    • Learning a meta-level prior for feature relevance from multiple related tasks
    • Lee, S.-I.; Chatalbashev, V.; Vickrey, D.; and Roller, D. 2007. Learning a meta-level prior for feature relevance from multiple related tasks. In Proc. ICML'07, 489-496.
    • (2007) Proc. ICML'07 , pp. 489-496
    • Lee, S.-I.1    Chatalbashev, V.2    Vickrey, D.3    Roller, D.4
  • 11
    • 36348976361 scopus 로고    scopus 로고
    • Mapping and Revising Markov Logic Networks for Transfer Learning
    • Mihalkova, L.; Huynh, T.; and Mooney, R. J. 2007. Mapping and Revising Markov Logic Networks for Transfer Learning. In Proc. AAAI'07, 608-614.
    • (2007) Proc. AAAI'07 , pp. 608-614
    • Mihalkova, L.1    Huynh, T.2    Mooney, R.J.3
  • 13
    • 84880891078 scopus 로고    scopus 로고
    • Efficient bayesian task-level transfer learning
    • Roy, D. M., and Kaelbling, L. P. 2007. Efficient bayesian task-level transfer learning. In Proc. IJCAI'07, 2599-2604.
    • (2007) Proc. IJCAI'07 , pp. 2599-2604
    • Roy, D.M.1    Kaelbling, L.P.2
  • 14
    • 34547997175 scopus 로고    scopus 로고
    • Cross-domain transfer for reinforcement learning. In Proc
    • Taylor, M. E., and Stone, P. 2007. Cross-domain transfer for reinforcement learning. In Proc. ICML'07, 879-886.
    • (2007) ICML'07 , pp. 879-886
    • Taylor, M.E.1    Stone, P.2
  • 15


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.