| 2008 |
|---|
| 24 | EE | Sholom M. Weiss,
Nitin Indurkhya:
Estimating Sales Opportunity Using Similarity-Based Methods.
ECML/PKDD (2) 2008: 582-596 |
| 2004 |
|---|
| 23 | EE | Fred Damerau,
Tong Zhang,
Sholom M. Weiss,
Nitin Indurkhya:
Text categorization for a comprehensive time-dependent benchmark.
Inf. Process. Manage. 40(2): 209-221 (2004) |
| 2002 |
|---|
| 22 | EE | Fred Damerau,
Tong Zhang,
Sholom M. Weiss,
Nitin Indurkhya:
Experiments in high-dimensional text categorization.
SIGIR 2002: 357-358 |
| 2001 |
|---|
| 21 | EE | Nitin Indurkhya,
Sholom M. Weiss:
Solving regression problems with rule-based ensemble classifiers.
KDD 2001: 287-292 |
| 20 | EE | Nitin Indurkhya,
Sholom M. Weiss:
Rule-Based Ensemble Solutions for Regression.
MLDM 2001: 62-72 |
| 19 | EE | Sholom M. Weiss,
Nitin Indurkhya:
Lightweight Collaborative Filtering Method for Binary-Encoded Data.
PKDD 2001: 484-491 |
| 2000 |
|---|
| 18 | EE | Sholom M. Weiss,
Nitin Indurkhya:
Decision-Rule Solutions for Data Mining with Missing Values.
IBERAMIA-SBIA 2000: 1-10 |
| 17 | | Sholom M. Weiss,
Nitin Indurkhya:
Lightweight Rule Induction.
ICML 2000: 1135-1142 |
| 1998 |
|---|
| 16 | EE | Nitin Indurkhya,
Sholom M. Weiss:
Estimating Performance Gains for Voted Decision Trees.
Intell. Data Anal. 2(1-4): 303-310 (1998) |
| 1996 |
|---|
| 15 | | Sholom M. Weiss,
Nitin Indurkhya:
Selecting the Right-Size Model for Prediction.
Appl. Intell. 6(4): 261-273 (1996) |
| 1995 |
|---|
| 14 | | Nitin Indurkhya,
Sholom M. Weiss:
Using Case Data to Improve on Rule-based Function Approximation.
ICCBR 1995: 217-228 |
| 13 | | Sholom M. Weiss,
Nitin Indurkhya:
Rule-based Machine Learning Methods for Functional Prediction.
J. Artif. Intell. Res. (JAIR) 3: 383-403 (1995) |
| 1994 |
|---|
| 12 | | Sholom M. Weiss,
Nitin Indurkhya:
Decision Tree Pruning: Biased or Optimal?
AAAI 1994: 626-632 |
| 11 | | Sholom M. Weiss,
Nitin Indurkhya:
Small Sample Decision tree Pruning.
ICML 1994: 335-342 |
| 10 | EE | Sholom M. Weiss,
Nitin Indurkhya:
Guest editors' introduction.
Appl. Intell. 4(3): 243-244 (1994) |
| 9 | EE | Kenichi Yoshida,
Hiroshi Motoda,
Nitin Indurkhya:
Graph-based induction as a unified learning framework.
Appl. Intell. 4(3): 297-316 (1994) |
| 1993 |
|---|
| 8 | | Makoto Iwayama,
Nitin Indurkhya,
Hiroshi Motoda:
A New Algorithm for Automatic Configuration of Hidden Markov Models.
ALT 1993: 237-250 |
| 7 | | Kenichi Yoshida,
Hiroshi Motoda,
Nitin Indurkhya:
Unifying Learning Methods by Colored Digraphs.
ALT 1993: 342-355 |
| 6 | | Sholom M. Weiss,
Nitin Indurkhya:
Rule-Based Regression.
IJCAI 1993: 1072-1078 |
| 5 | | Sholom M. Weiss,
Dawn M. Cohen,
Nitin Indurkhya:
Transmembrane Segment Prediction from Protein Sequence Data.
ISMB 1993: 420-428 |
| 4 | EE | Sholom M. Weiss,
Nitin Indurkhya:
Optimized Rule Induction.
IEEE Expert 8(6): 61-69 (1993) |
| 1992 |
|---|
| 3 | EE | Nitin Indurkhya,
Sholom M. Weiss:
Heuristic configuration of single hidden-layer feed-forward neural networks.
Appl. Intell. 2(4): 325-331 (1992) |
| 1991 |
|---|
| 2 | | Sholom M. Weiss,
Nitin Indurkhya:
Reduced Complexity Rule Induction.
IJCAI 1991: 678-684 |
| 1 | EE | Nitin Indurkhya,
Sholom M. Weiss:
Iterative rule induction methods.
Appl. Intell. 1(1): 43-54 (1991) |
