Jaime Carbonell
Jaime Carbonell
Professor of Computer Science, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
TitleCited byYear
The use of MMR, diversity-based reranking for reordering documents and producing summaries.
JG Carbonell, J Goldstein
SIGIR 98, 335-336, 1998
26491998
An artificial intelligence approach
RS Mitchell, JG Michalski, TM Carbonell
Berlin: Springer, 2013
23912013
Topic detection and tracking pilot study final report
J Allan, JG Carbonell, G Doddington, J Yamron, Y Yang
figshare, 2003
12772003
A study on retrospective and on-line event detection
Y Yang, T Pierce, JG Carbonell
figshare, 1982
8851982
Derivational analogy: A theory of reconstructive problem solving and expertise acquisition.
JG Carbonell
CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE, 1985
8171985
Learning by analogy: Formulating and generalizing plans from past experience
JG Carbonell
Machine learning, 137-161, 1983
6911983
Summarizing text documents: sentence selection and evaluation metrics
J Goldstein, M Kantrowitz, V Mittal, J Carbonell
SIGIR 99 (8), 99, 1999
6101999
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
5411995
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
5122010
An overview of machine learning
JG Carbonell, RS Michalski, TM Mitchell
Machine learning, 3-23, 1983
4881983
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
4591999
Multi-document summarization by sentence extraction
J Goldstein, V Mittal, J Carbonell, M Kantrowitz
Proceedings of the 2000 NAACL-ANLP Workshop on Automatic summarization, 40-48, 2000
4182000
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
3821989
Prodigy: An integrated architecture for planning and learning
JG Carbonell, CA Knoblock, S Minton
Architectures for intelligence, 255-292, 2014
3142014
Subjective Understanding: Computer Models of Belief Systems.
JG Carbonell
YALE UNIV NEW HAVEN CONN DEPT OF COMPUTER SCIENCE, 1979
3101979
Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization
MM Veloso, JG Carbonell
Case-Based Learning, 55-84, 1993
3061993
Machine learning: A multistrategy approach
RS Michalski, G Tecuci
Morgan Kaufmann, 1994
301*1994
Topic-conditioned novelty detection
Y Yang, J Zhang, J Carbonell, C Jin
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
3002002
Smoothing proximal gradient method for general structured sparse regression
X Chen, Q Lin, S Kim, JG Carbonell, EP Xing
The Annals of Applied Statistics 6 (2), 719-752, 2012
2832012
Machine learning: paradigms and methods
JG Carbonell
Elsevier North-Holland, Inc., 1990
258*1990
The system can't perform the operation now. Try again later.
Articles 1–20