Jaime Carbonell
Jaime Carbonell
Professor of Computer Science, Carnegie Mellon University
Dirección de correo verificada de cs.cmu.edu - Página principal
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The use of MMR, diversity-based reranking for reordering documents and producing summaries
J Carbonell, J Goldstein
Proceedings of the 21st annual international ACM SIGIR conference on …, 1998
31701998
Xlnet: Generalized autoregressive pretraining for language understanding
Z Yang, Z Dai, Y Yang, J Carbonell, RR Salakhutdinov, QV Le
Advances in neural information processing systems 32, 2019
29162019
Machine learning: An artificial intelligence approach
RS Michalski, JG Carbonell, TM Mitchell
Springer Science & Business Media, 2013
26122013
Topic detection and tracking pilot study final report
J Allan, JG Carbonell, G Doddington, J Yamron, Y Yang
Carnegie Mellon University, 1998
14371998
Transformer-xl: Attentive language models beyond a fixed-length context
Z Dai, Z Yang, Y Yang, J Carbonell, QV Le, R Salakhutdinov
arXiv preprint arXiv:1901.02860, 2019
12232019
A study of retrospective and on-line event detection
Y Yang, T Pierce, J Carbonell
Proceedings of the 21st annual international ACM SIGIR conference on …, 1998
10141998
Derivational analogy: A theory of reconstructive problem solving and expertise acquisition.
JG Carbonell
CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE, 1985
9131985
Learning by analogy: Formulating and generalizing plans from past experience
JG Carbonell
Machine learning, 137-161, 1983
7471983
Summarizing text documents: Sentence selection and evaluation metrics
J Goldstein, M Kantrowitz, V Mittal, J Carbonell
Proceedings of the 22nd annual international ACM SIGIR conference on …, 1999
6721999
Temporal collaborative filtering with bayesian probabilistic tensor factorization
L Xiong, X Chen, TK Huang, J Schneider, JG Carbonell
Proceedings of the 2010 SIAM international conference on data mining, 211-222, 2010
6712010
An overview of machine learning
JG Carbonell, RS Michalski, TM Mitchell
Machine learning, 3-23, 1983
6321983
Integrating planning and learning: The PRODIGY architecture
M Veloso, J Carbonell, A Perez, D Borrajo, E Fink, J Blythe
Journal of Experimental & Theoretical Artificial Intelligence 7 (1), 81-120, 1995
5601995
Learning approaches for detecting and tracking news events
Y Yang, JG Carbonell, RD Brown, T Pierce, BT Archibald, X Liu
IEEE Intelligent Systems and their Applications 14 (4), 32-43, 1999
5171999
Multi-document summarization by sentence extraction
J Goldstein, VO Mittal, JG Carbonell, M Kantrowitz
NAACL-ANLP 2000 Workshop: Automatic Summarization, 2000
5052000
Introduction to artificial intelligence and expert systems
D Patterson
Prentice-Hall, Inc., 1990
5001990
Explanation-based learning: A problem solving perspective
S Minton, JG Carbonell, CA Knoblock, DR Kuokka, O Etzioni, Y Gil
Artificial Intelligence 40 (1-3), 63-118, 1989
4021989
Subjective understanding: computer models of belief systems.
JG Carbonell
Yale University, 1979
3391979
Prodigy: An integrated architecture for planning and learning
J Carbonell, O Etzioni, Y Gil, R Joseph, C Knoblock, S Minton, M Veloso
ACM SIGART Bulletin 2 (4), 51-55, 1991
3371991
Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization
MM Veloso, JG Carbonell
Case-Based Learning, 55-84, 1993
3341993
Topic-conditioned novelty detection
Y Yang, J Zhang, J Carbonell, C Jin
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
3332002
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Artículos 1–20