Jason Rennie
Jason Rennie
Software Engieer, Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Tackling the poor assumptions of naive bayes text classifiers
JD Rennie, L Shih, J Teevan, D Karger
International Conference on Machine Learning 20 (2), 616, 2003
13072003
Maximum-margin matrix factorization
N Srebro, J Rennie, TS Jaakkola
Advances in neural information processing systems, 1329-1336, 2005
12022005
Fast maximum margin matrix factorization for collaborative prediction
JDM Rennie, N Srebro
Proceedings of the 22nd international conference on Machine learning, 713-719, 2005
11502005
Automating the construction of internet portals with machine learning
AK McCallum, K Nigam, J Rennie, K Seymore
Information Retrieval 3 (2), 127-163, 2000
8262000
Using reinforcement learning to spider the web efficiently
J Rennie, AK McCallum
International Conference on Machine Learning, 335-343, 1999
3811999
A machine learning approach to building domain-specific search engines
A McCallum, K Nigam, J Rennie, K Seymore
IJCAI 99, 662-667, 1999
2691999
Building Domain-Specific Search Engines with Machine Learning Techniques
A McCallum, K Nigam, J Rennie, K Seymore
AAAI-99 Spring Symposium, 1999
2441999
ifile: An Application of Machine Learning to E-Mail Filtering
JDM Rennie
KDD-2000 Workshop, 2000
2182000
Improving multiclass text classification with the support vector machine
JDM Rennie, R Rifkin
1952001
Topcat: Data mining for topic identification in a text corpus
C Clifton, R Cooley, J Rennie
IEEE transactions on knowledge and data engineering 16 (8), 949-964, 2004
1562004
Improving multi-class text classification with naive Bayes
JDM Rennie
1482001
Loss functions for preference levels: Regression with discrete ordered labels
JDM Rennie, N Srebro
Proceedings of the IJCAI multidisciplinary workshop on advances in …, 2005
1352005
Using term informativeness for named entity detection
JDM Rennie, T Jaakkola
Proceedings of the 28th annual international ACM SIGIR conference on …, 2005
722005
Statistical analysis of stochastic gradient methods for generalized linear models
P Toulis, E Airoldi, J Rennie
International Conference on Machine Learning, 667-675, 2014
542014
Text bundling: Statistics based data-reduction
L Shih, JD Rennie, YH Chang, DR Karger
Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003
492003
Derivation of the F-Measure
JDM Rennie
other words 1 (4), 2004
392004
Efficient web spidering with reinforcement learning
J Rennie, A McCallum
Proceedings of the International Conference on Machine Learning, 1999
301999
Regularized logistic regression is strictly convex
JDM Rennie
Unpublished manuscript. URL people. csail. mit. edu/jrennie/writing/convexLR …, 2005
272005
Another sys called Qanda
E Breck, J Burger, L Ferro, W Greiff, M Light, I Mani, J Rennie
TREC, 2000
252000
An application of machine learning to e-mail filtering
J Rennie
Proc. KDD-2000 Text Mining Workshop, 75-80, 2000
182000
The system can't perform the operation now. Try again later.
Articles 1–20