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Volumn , Issue , 2007, Pages 83-92

Learning probabilistic relational dynamics for multiple tasks

Author keywords

[No Author keywords available]

Indexed keywords

ACTION EFFECT; CLASS OF PRIORS; COORDINATE ASCENT; HIERARCHICAL BAYESIAN; MULTIPLE TASKS; PARAMETERIZED; PRIOR DISTRIBUTION; PROBABILISTIC PLANNING; RULE SET; TRAINING DATA;

EID: 80053169276     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (11)
  • 1
    • 0031187873 scopus 로고    scopus 로고
    • A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling
    • J. Baxter. A Bayesian/information theoretic model of learning to learn via multiple task sampling. Machine Learning, 28:7-39, 1997. (Pubitemid 127507168)
    • (1997) Machine Learning , vol.28 , Issue.1 , pp. 7-39
    • Baxter, J.1
  • 5
    • 0041470854 scopus 로고
    • The estimation of many parameters
    • V. P. Godambe and D. A. Sprott, editors Holt, Rinehart and Winston, Toronto
    • D. V. Lindley. The estimation of many parameters. In V. P. Godambe and D. A. Sprott, editors, Foundations of Statistical Inference. Holt, Rinehart and Winston, Toronto, 1971.
    • (1971) Foundations of Statistical Inference
    • Lindley, D.V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.