Nitin Indurkhya

According to our database, Nitin Indurkhya authored at least 34 papers between 1989 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Condition-transforming Variational Autoencoder for Conversation Response Generation.

Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Nitin Indurkhya

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

A Study on Improving End-to-End Neural Coreference Resolution.

Jia-Chen Gu, Zhen-Hua Ling, Nitin Indurkhya

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018

2015

Fundamentals of Predictive Text Mining, Second Edition

Sholom M. Weiss, Nitin Indurkhya, Tong Zhang

Texts in Computer Science, Springer, ISBN: 978-1-4471-6750-1, 2015

Emerging directions in predictive text mining.

Nitin Indurkhya

WIREs Data Mining Knowl. Discov., 2015

2014

Natural Language Processing.

Nitin Indurkhya

Proceedings of the Computing Handbook, 2014

2010

Fundamentals of Predictive Text Mining.

Sholom M. Weiss, Nitin Indurkhya, Tong Zhang

Texts in Computer Science 41, Springer, ISBN: 978-1-84996-226-1, 2010

Predictive rule discovery from electronic health records.

Sholom M. Weiss, Nitin Indurkhya, Chidanand Apté

Proceedings of the ACM International Health Informatics Symposium, 2010

2008

Estimating Sales Opportunity Using Similarity-Based Methods.

Sholom M. Weiss, Nitin Indurkhya

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2004

Text categorization for a comprehensive time-dependent benchmark.

Fred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya

Inf. Process. Manag., 2004

2002

Experiments in high-dimensional text categorization.

Fred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya

Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

2001

Kirrkirr: Software for Browsing and Visual Exploration of a Structured Warlpiri Dictionary.

Christopher D. Manning, Kevin Jansz, Nitin Indurkhya

Lit. Linguistic Comput., 2001

Lightweight Collaborative Filtering Method for Binary-Encoded Data.

Sholom M. Weiss, Nitin Indurkhya

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

Rule-Based Ensemble Solutions for Regression.

Nitin Indurkhya, Sholom M. Weiss

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2001

Solving regression problems with rule-based ensemble classifiers.

Nitin Indurkhya, Sholom M. Weiss

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

2000

Decision-Rule Solutions for Data Mining with Missing Values.

Sholom M. Weiss, Nitin Indurkhya

Proceedings of the Advances in Artificial Intelligence, 2000

Lightweight Rule Induction.

Sholom M. Weiss, Nitin Indurkhya

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1998

Estimating Performance Gains for Voted Decision Trees.

Nitin Indurkhya, Sholom M. Weiss

Intell. Data Anal., 1998

1997

Predictive data mining - a practical guide.

Sholom M. Weiss, Nitin Indurkhya

Morgan Kaufmann, ISBN: 978-1-55860-403-2, 1997

1996

Selecting the Right-Size Model for Prediction.

Sholom M. Weiss, Nitin Indurkhya

Appl. Intell., 1996

1995

Rule-based Machine Learning Methods for Functional Prediction.

Sholom M. Weiss, Nitin Indurkhya

J. Artif. Intell. Res., 1995

Using Case Data to Improve on Rule-based Function Approximation.

Nitin Indurkhya, Sholom M. Weiss

Proceedings of the Case-Based Reasoning Research and Development, 1995

1994

Graph-based induction as a unified learning framework.

Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya

Appl. Intell., 1994

Guest editors' introduction.

Sholom M. Weiss, Nitin Indurkhya

Appl. Intell., 1994

Small Sample Decision tree Pruning.

Sholom M. Weiss, Nitin Indurkhya

Proceedings of the Machine Learning, 1994

Decision Tree Pruning: Biased or Optimal?

Sholom M. Weiss, Nitin Indurkhya

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1993

Optimized Rule Induction.

Sholom M. Weiss, Nitin Indurkhya

IEEE Expert, 1993

Transmembrane Segment Prediction from Protein Sequence Data.

Sholom M. Weiss, Dawn M. Cohen, Nitin Indurkhya

Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology, 1993

Rule-Based Regression.

Sholom M. Weiss, Nitin Indurkhya

Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Unifying Learning Methods by Colored Digraphs.

Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya

Proceedings of the Algorithmic Learning Theory, 4th International Workshop, 1993

A New Algorithm for Automatic Configuration of Hidden Markov Models.

Makoto Iwayama, Nitin Indurkhya, Hiroshi Motoda

Proceedings of the Algorithmic Learning Theory, 4th International Workshop, 1993

1992

Heuristic configuration of single hidden-layer feed-forward neural networks.

Nitin Indurkhya, Sholom M. Weiss

Appl. Intell., 1992

1991

Iterative rule induction methods.

Nitin Indurkhya, Sholom M. Weiss

Appl. Intell., 1991

Reduced Complexity Rule Induction.

Sholom M. Weiss, Nitin Indurkhya

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1989

Models for measuring performance of medical expert systems.

Nitin Indurkhya, Sholom M. Weiss

Artif. Intell. Medicine, 1989