| 2008 |
|---|
| 41 | EE | Wanxia Wei,
Chu Min Li,
Harry Zhang:
Switching among Non-Weighting, Clause Weighting, and Variable Weighting in Local Search for SAT.
CP 2008: 313-326 |
| 40 | EE | Bin Wang,
Bruce Spencer,
Charles X. Ling,
Harry Zhang:
Semi-supervised Self-training for Sentence Subjectivity Classification.
Canadian Conference on AI 2008: 344-355 |
| 39 | EE | Jin Huang,
Charles X. Ling,
Harry Zhang,
Stan Matwin:
Proper Model Selection with Significance Test.
ECML/PKDD (1) 2008: 536-547 |
| 38 | EE | Jiang Su,
Harry Zhang,
Charles X. Ling,
Stan Matwin:
Discriminative parameter learning for Bayesian networks.
ICML 2008: 1016-1023 |
| 37 | EE | Kari Torkkola,
Mike Gardner,
Christopher Schreiner,
Keshu Zhang,
Bob Leivian,
Harry Zhang,
John Summers:
Understanding Driving Activity Using Ensemble Methods.
Computational Intelligence in Automotive Applications 2008: 39-58 |
| 36 | EE | Liangxiao Jiang,
Dianhong Wang,
Harry Zhang,
Zhihua Cai,
Bo Huang:
Using Instance cloning to Improve Naive Bayes for Ranking.
IJPRAI 22(6): 1121-1140 (2008) |
| 35 | EE | Harry Zhang,
Jiang Su:
Naive Bayes for optimal ranking.
J. Exp. Theor. Artif. Intell. 20(2): 79-93 (2008) |
| 34 | EE | Wanxia Wei,
Chu Min Li,
Harry Zhang:
A Switching Criterion for Intensification and Diversification in Local Search for SAT.
JSAT 4(2-4): 219-237 (2008) |
| 2007 |
|---|
| 33 | EE | Bin Wang,
Harry Zhang:
Probability Based Metrics for Locally Weighted Naive Bayes.
Canadian Conference on AI 2007: 180-191 |
| 32 | EE | Liangxiao Jiang,
Harry Zhang,
Dianhong Wang,
Zhihua Cai:
Learning Locally Weighted C4.4 for Class Probability Estimation.
Discovery Science 2007: 104-115 |
| 31 | EE | Keshu Zhang,
Kari Torkkola,
Haifeng Li,
Christopher Schreiner,
Harry Zhang,
Robert Mike Gardner,
Zheng Zhao:
A Context Aware Automatic Traffic Notification System for Cell Phones.
ICDCS Workshops 2007: 48 |
| 30 | EE | Harry Zhang,
Christopher Schreiner,
Keshu Zhang,
Kari Torkkola:
Naturalistic use of cell phones in driving and context-based user assistance.
Mobile HCI 2007: 273-276 |
| 29 | EE | Chu Min Li,
Wanxia Wei,
Harry Zhang:
Combining Adaptive Noise and Look-Ahead in Local Search for SAT.
SAT 2007: 121-133 |
| 2006 |
|---|
| 28 | | Jiang Su,
Harry Zhang:
A Fast Decision Tree Learning Algorithm.
AAAI 2006 |
| 27 | EE | Liangxiao Jiang,
Harry Zhang:
Learning Naive Bayes for Probability Estimation by Feature Selection.
Canadian Conference on AI 2006: 503-514 |
| 26 | EE | Liangxiao Jiang,
Harry Zhang:
Lazy Averaged One-Dependence Estimators.
Canadian Conference on AI 2006: 515-525 |
| 25 | EE | Jiang Su,
Harry Zhang:
Probabilistic Inference Trees for Classification and Ranking.
Canadian Conference on AI 2006: 526-537 |
| 24 | EE | Bin Wang,
Harry Zhang:
Improving the Ranking Performance of Decision Trees.
ECML 2006: 461-472 |
| 23 | EE | Liangxiao Jiang,
Harry Zhang,
Zhihua Cai:
Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted.
FSKD 2006: 365-368 |
| 22 | EE | Jiang Su,
Harry Zhang:
Full Bayesian network classifiers.
ICML 2006: 897-904 |
| 21 | EE | Han Liang,
Harry Zhang,
Yuhong Yan:
Decision Trees for Probability Estimation: An Empirical Study.
ICTAI 2006: 756-764 |
| 20 | EE | Liangxiao Jiang,
Harry Zhang:
Weightily Averaged One-Dependence Estimators.
PRICAI 2006: 970-974 |
| 19 | EE | Harry Zhang,
Jiang Su:
Learning probabilistic decision trees for AUC.
Pattern Recognition Letters 27(8): 892-899 (2006) |
| 2005 |
|---|
| 18 | | Jiang Su,
Harry Zhang:
Representing Conditional Independence Using Decision Trees.
AAAI 2005: 874-879 |
| 17 | | Harry Zhang,
Liangxiao Jiang,
Jiang Su:
Hidden Naive Bayes.
AAAI 2005: 919-924 |
| 16 | EE | Liangxiao Jiang,
Harry Zhang,
Jiang Su:
Learning k-Nearest Neighbor Naive Bayes for Ranking.
ADMA 2005: 175-185 |
| 15 | EE | Liangxiao Jiang,
Harry Zhang,
Zhihua Cai,
Jiang Su:
One Dependence Augmented Naive Bayes.
ADMA 2005: 186-194 |
| 14 | EE | Liangxiao Jiang,
Harry Zhang,
Jiang Su:
Instance Cloning Local Naive Bayes.
Canadian Conference on AI 2005: 280-291 |
| 13 | EE | Liangxiao Jiang,
Harry Zhang,
Zhihua Cai,
Jiang Su:
Learning Tree Augmented Naive Bayes for Ranking.
DASFAA 2005: 688-698 |
| 12 | EE | Liangxiao Jiang,
Harry Zhang:
Learning Instance Greedily Cloning Naive Bayes for Ranking.
ICDM 2005: 202-209 |
| 11 | EE | Harry Zhang,
Liangxiao Jiang,
Jiang Su:
Augmenting naive Bayes for ranking.
ICML 2005: 1020-1027 |
| 10 | EE | Harry Zhang:
Exploring Conditions For The Optimality Of Naïve Bayes.
IJPRAI 19(2): 183-198 (2005) |
| 2004 |
|---|
| 9 | EE | Harry Zhang,
Jiang Su:
Naive Bayesian Classifiers for Ranking.
ECML 2004: 501-512 |
| 8 | EE | Harry Zhang,
Jiang Su:
Conditional Independence Trees.
ECML 2004: 513-524 |
| 7 | | Harry Zhang:
The Optimality of Naive Bayes.
FLAIRS Conference 2004 |
| 6 | EE | Jiang Su,
Harry Zhang:
Learning Conditional Independence Tree for Ranking.
ICDM 2004: 531-534 |
| 5 | EE | Harry Zhang,
Shengli Sheng:
Learning Weighted Naive Bayes with Accurate Ranking.
ICDM 2004: 567-570 |
| 2003 |
|---|
| 4 | EE | Charles X. Ling,
Jin Huang,
Harry Zhang:
AUC: A Better Measure than Accuracy in Comparing Learning Algorithms.
Canadian Conference on AI 2003: 329-341 |
| 3 | EE | Harry Zhang,
Charles X. Ling:
A Fundamental Issue of Naive Bayes.
Canadian Conference on AI 2003: 591-595 |
| 2 | | Charles X. Ling,
Jin Huang,
Harry Zhang:
AUC: a Statistically Consistent and more Discriminating Measure than Accuracy.
IJCAI 2003: 519-526 |
| 1 | EE | Harry Zhang,
Charles X. Ling:
Numeric Mapping and Learnability of Naive Bayes.
Applied Artificial Intelligence 17(5-6): 507-518 (2003) |
