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Books and Theses
- 2015
[b3]Sholom M. Weiss, Nitin Indurkhya, Tong Zhang:
Fundamentals of Predictive Text Mining, Second Edition. Texts in Computer Science, Springer 2015, ISBN 978-1-4471-6749-5, pp. 1-222- 2010
- [b2]Sholom M. Weiss, Nitin Indurkhya, Tong Zhang:
Fundamentals of Predictive Text Mining. Texts in Computer Science 41, Springer 2010, ISBN 978-1-84996-225-4, pp. I-XII, 1-226 - 1997
- [b1]Sholom M. Weiss, Nitin Indurkhya:
Predictive data mining - a practical guide. Morgan Kaufmann 1997, ISBN 978-1-55860-403-2, pp. I-XII, 1-228
Journal Articles
- 2015
- [j12]Nitin Indurkhya:
Emerging directions in predictive text mining. WIREs Data Mining Knowl. Discov. 5(4): 155-164 (2015) - 2004
- [j11]Fred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya:
Text categorization for a comprehensive time-dependent benchmark. Inf. Process. Manag. 40(2): 209-221 (2004) - 2001
- [j10]Christopher D. Manning
, Kevin Jansz, Nitin Indurkhya:
Kirrkirr: Software for Browsing and Visual Exploration of a Structured Warlpiri Dictionary. Lit. Linguistic Comput. 16(2): 135-151 (2001) - 1998
- [j9]Nitin Indurkhya, Sholom M. Weiss:
Estimating Performance Gains for Voted Decision Trees. Intell. Data Anal. 2(1-4): 303-310 (1998) - 1996
- [j8]Sholom M. Weiss, Nitin Indurkhya:
Selecting the Right-Size Model for Prediction. Appl. Intell. 6(4): 261-273 (1996) - 1995
- [j7]Sholom M. Weiss, Nitin Indurkhya:
Rule-based Machine Learning Methods for Functional Prediction. J. Artif. Intell. Res. 3: 383-403 (1995) - 1994
- [j6]Sholom M. Weiss, Nitin Indurkhya:
Guest editors' introduction. Appl. Intell. 4(3): 243-244 (1994) - [j5]Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya:
Graph-based induction as a unified learning framework. Appl. Intell. 4(3): 297-316 (1994) - 1993
- [j4]Sholom M. Weiss, Nitin Indurkhya:
Optimized Rule Induction. IEEE Expert 8(6): 61-69 (1993) - 1992
- [j3]Nitin Indurkhya, Sholom M. Weiss:
Heuristic configuration of single hidden-layer feed-forward neural networks. Appl. Intell. 2(4): 325-331 (1992) - 1991
- [j2]Nitin Indurkhya, Sholom M. Weiss:
Iterative rule induction methods. Appl. Intell. 1(1): 43-54 (1991) - 1989
- [j1]Nitin Indurkhya, Sholom M. Weiss:
Models for measuring performance of medical expert systems. Artif. Intell. Medicine 1(2): 61-70 (1989)
Conference and Workshop Papers
- 2019
- [c18]Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Nitin Indurkhya:
Condition-transforming Variational Autoencoder for Conversation Response Generation. ICASSP 2019: 7215-7219 - 2018
- [c17]Jia-Chen Gu, Zhen-Hua Ling, Nitin Indurkhya:
A Study on Improving End-to-End Neural Coreference Resolution. CCL 2018: 159-169 - 2010
- [c16]Sholom M. Weiss, Nitin Indurkhya, Chidanand Apté:
Predictive rule discovery from electronic health records. IHI 2010: 734-743 - 2008
- [c15]Sholom M. Weiss, Nitin Indurkhya:
Estimating Sales Opportunity Using Similarity-Based Methods. ECML/PKDD (2) 2008: 582-596 - 2002
- [c14]Fred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya:
Experiments in high-dimensional text categorization. SIGIR 2002: 357-358 - 2001
- [c13]Nitin Indurkhya, Sholom M. Weiss:
Solving regression problems with rule-based ensemble classifiers. KDD 2001: 287-292 - [c12]Nitin Indurkhya, Sholom M. Weiss:
Rule-Based Ensemble Solutions for Regression. MLDM 2001: 62-72 - [c11]Sholom M. Weiss, Nitin Indurkhya:
Lightweight Collaborative Filtering Method for Binary-Encoded Data. PKDD 2001: 484-491 - 2000
- [c10]Sholom M. Weiss, Nitin Indurkhya:
Lightweight Rule Induction. ICML 2000: 1135-1142 - [c9]Sholom M. Weiss, Nitin Indurkhya:
Decision-Rule Solutions for Data Mining with Missing Values. IBERAMIA-SBIA 2000: 1-10 - 1995
- [c8]Nitin Indurkhya, Sholom M. Weiss:
Using Case Data to Improve on Rule-based Function Approximation. ICCBR 1995: 217-228 - 1994
- [c7]Sholom M. Weiss, Nitin Indurkhya:
Decision Tree Pruning: Biased or Optimal? AAAI 1994: 626-632 - [c6]Sholom M. Weiss, Nitin Indurkhya:
Small Sample Decision tree Pruning. ICML 1994: 335-342 - 1993
- [c5]Makoto Iwayama, Nitin Indurkhya, Hiroshi Motoda:
A New Algorithm for Automatic Configuration of Hidden Markov Models. ALT 1993: 237-250 - [c4]Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya:
Unifying Learning Methods by Colored Digraphs. ALT 1993: 342-355 - [c3]Sholom M. Weiss, Nitin Indurkhya:
Rule-Based Regression. IJCAI 1993: 1072-1078 - [c2]Sholom M. Weiss, Dawn M. Cohen, Nitin Indurkhya:
Transmembrane Segment Prediction from Protein Sequence Data. ISMB 1993: 420-428 - 1991
- [c1]Sholom M. Weiss, Nitin Indurkhya:
Reduced Complexity Rule Induction. IJCAI 1991: 678-684
Parts in Books or Collections
- 2014
- [p1]Nitin Indurkhya:
Natural Language Processing. Computing Handbook, 3rd ed. (1) 2014: 40: 1-17
Editorship
- 2010
- [e2]Nitin Indurkhya, Simon Zwarts:
Proceedings of the Australasian Language Technology Association Workshop, ALTA 2010, Melbourne, Australia, December 9-10, 2010. ACL 2010 [contents] - [e1]Nitin Indurkhya, Fred J. Damerau:
Handbook of Natural Language Processing, Second Edition. Chapman and Hall/CRC 2010, ISBN 978-1-4200-8592-1 [contents]
Informal and Other Publications
- 2019
- [i2]Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Nitin Indurkhya:
Condition-Transforming Variational AutoEncoder for Conversation Response Generation. CoRR abs/1904.10610 (2019) - 1995
- [i1]Sholom M. Weiss, Nitin Indurkhya:
Rule-based Machine Learning Methods for Functional Prediction. CoRR abs/cs/9512107 (1995)
Coauthor Index
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