Rajesh Parekh

27 papers A* 4A 3B 3Journal 5Unranked 11
YearRankTypeTitle / Venue / Authors
2017 A* conf
Designing AI at Scale to Power Everyday Life.
KDD
Rajesh Parekh
2016 A* conf
An Engagement-Based Customer Lifetime Value System for E-commerce.
KDD
Ali Vanderveld, Addhyan Pandey, Angela Han, Rajesh Parekh
2014 A conf
Controlled experimentation in recommendations, ranking & response prediction.
RecSys
Ya Xu, Rajesh Parekh, Juliette Aurisset
2014 — conf
Learning to predict subject-line opens for large-scale email marketing.
IEEE BigData
Raju Balakrishnan, Rajesh Parekh
2013 A* ed.
The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013
KDD
Inderjit S. Dhillon, Yehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh, Jingrui He, Robert L. Grossman, Ramasamy Uthurusamy
2011 — conf
A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaigns.
WWW (Companion Volume)
Ashish Mangalampalli, Adwait Ratnaparkhi, Andrew O. Hatch, Abraham Bagherjeiran, Rajesh Parekh, Vikram Pudi
2010 — conf
Large-Scale Customized Models for Advertisers.
ICDM Workshops
Abraham Bagherjeiran, Andrew O. Hatch, Adwait Ratnaparkhi, Rajesh Parekh
2010 — ch.
Online Advertising in Social Networks.
Handbook of Social Network Technologies
Abraham Bagherjeiran, Rushi Bhatt, Rajesh Parekh, Vineet Chaoji
2010 A conf
Predicting product adoption in large-scale social networks.
CIKM
Rushi Bhatt, Vineet Chaoji, Rajesh Parekh
2008 — conf
Combining Behavioral and Social Network Data for Online Advertising.
ICDM Workshops
Abraham Bagherjeiran, Rajesh Parekh
2004 J jnl
Lessons and Challenges from Mining Retail E-Commerce Data.
Mach. Learn.
Ron Kohavi, Llew Mason, Rajesh Parekh, Zijian Zheng
2004 A conf
Visualizing RFM Segmentation.
SDM
Ron Kohavi, Rajesh Parekh
2001 J jnl
Learning DFA from Simple Examples.
Mach. Learn.
Rajesh Parekh, Vasant G. Honavar
2000 J jnl
An empirical comparison of the performance so single-layer algorithms for training threshold logic units.
Neural Parallel Sci. Comput.
Rajesh Parekh, Jihoon Yang, Vasant G. Honavar
2000 J jnl
Constructive neural-network learning algorithms for pattern classification.
IEEE Trans. Neural Networks Learn. Syst.
Rajesh Parekh, Jihoon Yang, Vasant G. Honavar
2000 — conf
On the Relationship between Models for Learning in Helpful Environments.
ICGI
Rajesh Parekh, Vasant G. Honavar
1999 B conf
Data-Driven Theory Refinement Using
IDA
Jihoon Yang, Rajesh Parekh, Vasant G. Honavar, Drena Dobbs
1999 B conf
Data-driven theory refinement algorithms for bioinformatics.
IJCNN
Jihoon Yang, Rajesh Parekh, Vasant G. Honavar, Drena Dobbs
1999 J jnl
DistAl: An inter-pattern distance-based constructive learning algorithm.
Intell. Data Anal.
Jihoon Yang, Rajesh Parekh, Vasant G. Honavar
1999 A* conf
Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples.
ICML
Rajesh Parekh, Vasant G. Honavar
1998 — conf
A Polynominal Time Incremental Algorithm for Learning DFA.
ICGI
Rajesh Parekh, Codrin M. Nichitiu, Vasant G. Honavar
1997 B conf
Learning DFA from Simple Examples.
ALT
Rajesh Parekh, Vasant G. Honavar
1997 — conf
MUpstart-a constructive neural network learning algorithm for multi-category pattern classification.
ICNN
Rajesh Parekh, Jihoon Yang, Vasant G. Honavar
1997 — conf
Pruning strategies for the MTiling constructive learning algorithm.
ICNN
Rajesh Parekh, Jihoon Yang, Vasant G. Honavar
1996 — conf
An Incremental Interactive Algorithm for Regular Grammar Inference.
AAAI/IAAI, Vol. 2
Rajesh Parekh, Vasant G. Honavar
1996 — conf
An incremental interactive algorithm for grammar inference.
ICGI
Rajesh Parekh, Vasant G. Honavar
1996 — conf
Constructive Neural Network Learning Algorithms.
AAAI/IAAI, Vol. 2
Rajesh Parekh, Jihoon Yang, Vasant G. Honavar