Rajesh Parekh

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An Efficient Interactive Algorithm for Regular Language Learning

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 1995 .

Constructive learning: inducing grammars and neural networks

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 1998 .

Data-Driven Theory Refinement Using KBDistAl

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 1999, IDA.

Lessons and Challenges from Mining Retail E-Commerce Data

Rajesh Parekh, Ron Kohavi, Zijian Zheng, 2004, Machine Learning.

MUpstart-a constructive neural network learning algorithm for multi-category pattern classification

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Constructive Neural Network Learning Algorithms for Multi-Category Real-Valued Pattern Classification

Rajesh Parekh, Vasant Honavar, Jihoon Yang, 1997 .

Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples

Rajesh Parekh, Vasant Honavar, 1999, ICML.

An Incremental Interactive Algorithm for Regular Grammar Inference

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 1996, AAAI/IAAI, Vol. 2.

Constructive Neural Network Learning Algorithms

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 1996, AAAI/IAAI, Vol. 2.

Designing AI at Scale to Power Everyday Life

Rajesh Parekh, R. Parekh, 2017, KDD.

Controlled experimentation in recommendations, ranking & response prediction

Rajesh Parekh, Ya Xu, Juliette Aurisset, 2014, RecSys '14.

An Engagement-Based Customer Lifetime Value System for E-commerce

Rajesh Parekh, Ali Vanderveld, Addhyan Pandey, 2016, KDD.

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

Robert L. Grossman, Rajesh Parekh, Rayid Ghani, 2013, KDD 2013.

Learning DFA from Simple Examples

Rajesh Parekh, Vasant Honavar, 1997, ALT.

Combining Behavioral and Social Network Data for Online Advertising

Rajesh Parekh, Abraham Bagherjeiran, 2008, 2008 IEEE International Conference on Data Mining Workshops.

A Polynominal Time Incremental Algorithm for Learning DFA

Rajesh Parekh, Vasant Honavar, Codrin M. Nichitiu, 1998, ICGI.

Pruning strategies for constructive neural network learning algorithms

Rajesh Parekh, Vasant Honavar, G.-Z. Yang, 1997 .

Constructive neural-network learning algorithms for pattern classification

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 2000, IEEE Trans. Neural Networks Learn. Syst..

Large-Scale Customized Models for Advertisers

Rajesh Parekh, Adwait Ratnaparkhi, Andrew O. Hatch, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Constructive Learning and Structural Learning

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 1999 .

Constructive Neural Network Learning Algorithms for Multi-Category Pattern Classification

Rajesh Parekh, Vasant Honavar, Jihoon Yang, 1995 .

DFA Learning from Simple Examples

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 2001 .

Grammar Inference Automata Induction and Language Acquisition

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 2005 .

Comparison of performance of variants of single-layer perceptron algorithms on nonseparable data

Rajesh Parekh, Vasant Honavar, Jennifer Yang, 2000 .

Learning to predict subject-line opens for large-scale email marketing

Rajesh Parekh, Raju Balakrishnan, 2014, 2014 IEEE International Conference on Big Data (Big Data).

On the Relationship between Models for Learning in Helpful Environments

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 2000, ICGI.

DistAl: an inter-pattern distance-based constructive learning algorithm

Jihoon Yang, Rajesh Parekh, V. Konavar, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Data Driven Recommendations for Display Advertising

Rajesh Parekh, Vijay K. Narayanan, Kevin L. Chang, 2010 .

Analysis of Decision Boundaries Generated by Constructive Neural Network Learning Algorithms

Rajesh Parekh, Vasant Honavar, Karthik Balakrishnan, 1995 .

Pruning strategies for the MTiling constructive learning algorithm

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

An empirical comparison of the performance so single-layer algorithms for training threshold logic units

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 2000, Neural Parallel Sci. Comput..

Constructive theory refinement in knowledge based neural networks

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaigns

Vikram Pudi, Rajesh Parekh, Ashish Mangalampalli, 2011, WWW.

Data-driven theory refinement algorithms for bioinformatics

Jihoon Yang, Rajesh Parekh, Vasant Honavar, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Visualizing RFM Segmentation

Rajesh Parekh, Ron Kohavi, 2004, SDM.

Method, apparatus, and computer program product for forecasting demand

Rajesh Parekh, Feili Hou, Shafiq Shariff, 2013 .

Learning DFA from Simple Examples

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 1997, Machine Learning.

Handbook of Natural Language Processing

Rajesh Parekh, Vasant Honavar, 1998 .

Online Advertising in Social Networks

Rajesh Parekh, Vineet Chaoji, Rushi Bhatt, 2010, Handbook of Social Network Technologies.

An incremental interactive algorithm for grammar inference

Rajesh Parekh, Vasant Honavar, 1996 .

Predicting product adoption in large-scale social networks

Rajesh Parekh, Vineet Chaoji, Rushi Bhatt, 2010, CIKM.

Automata Induction, Grammar Inference, and Language Acquisition

Rajesh Parekh, Vasant Honavar, Vasant G Honavar, 2000 .

Constructive Theory Reenement in Knowledge Based Neural Networks

Rajesh Parekh, 1998 .

A Polynomial Time Incremental Algorithm for Regular Grammar Inference

Rajesh Parekh, Vasant Honavar, Codrin M. Nichitiu, 1997 .