| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Geoffrey I. Webb, Janice R. Boughton, Fei Zheng, Kai Ming Ting, Houssam Salem |
Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive Bayesian classification.  |
Machine Learning  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou |
Isolation-Based Anomaly Detection. |
TKDD |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Guang-Tong Zhou, Kai Ming Ting, Fei Tony Liu, Yilong Yin |
Relevance feature mapping for content-based multimedia information retrieval. |
Pattern Recognition |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Swee Chuan Tan, Kai Ming Ting, Shyh Wei Teng |
Simplifying and improving ant-based clustering. |
Procedia CS |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb |
Feature-subspace aggregating: ensembles for stable and unstable learners. |
Machine Learning |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting, Ian H. Witten |
Issues in Stacked Generalization |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Zhouyu Fu, Guojun Lu, Kai Ming Ting, Dengsheng Zhang |
A Survey of Audio-Based Music Classification and Annotation. |
IEEE Transactions on Multimedia |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Swee Chuan Tan, Kai Ming Ting, Shyh Wei Teng |
A general stochastic clustering method for automatic cluster discovery. |
Pattern Recognition |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhouyu Fu, Guojun Lu, Kai Ming Ting, Dengsheng Zhang |
Music classification via the bag-of-features approach. |
Pattern Recognition Letters |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhouyu Fu, Guojun Lu, Kai Ming Ting, Dengsheng Zhang |
Building Sparse Support Vector Machines for Multi-Instance Classification. |
ECML/PKDD |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Fei Tony Liu |
Density Estimation Based on Mass. |
ICDM |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Swee Chuan Tan, Kai Ming Ting, Fei Tony Liu |
Fast Anomaly Detection for Streaming Data. |
IJCAI |
2011 |
DBLP BibTeX RDF |
|
| 1 | Zhouyu Fu, Guojun Lu, Kai Ming Ting, Dengsheng Zhang |
On Low-Rank Regularized Least Squares for Scalable Nonlinear Classification. |
ICONIP |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Takashi Washio, Einoshin Suzuki, Kai Ming Ting |
Best papers from the 12th Pacific-Asia conference on knowledge discovery and data mining (PAKDD2008). |
Knowl. Inf. Syst. |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting |
Precision and Recall. |
Encyclopedia of Machine Learning |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting |
Confusion Matrix. |
Encyclopedia of Machine Learning |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting |
Sensitivity and Specificity. |
Encyclopedia of Machine Learning |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting |
Precision. |
Encyclopedia of Machine Learning |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting |
Error Rate. |
Encyclopedia of Machine Learning |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou |
On Detecting Clustered Anomalies Using SCiForest. |
ECML/PKDD |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting, Jonathan R. Wells |
Multi-dimensional Mass Estimation and Mass-based Clustering. |
ICDM |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhouyu Fu, Guojun Lu, Kai Ming Ting, Dengsheng Zhang |
Learning Naive Bayes Classifiers for Music Classification and Retrieval. |
ICPR |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Swee Chuan Tan, Kai Ming Ting, Shyh Wei Teng |
A Comparative Study of a Practical Stochastic Clustering Method with Traditional Methods. |
Australasian Conference on Artificial Intelligence |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhouyu Fu, Guojun Lu, Kai Ming Ting, Dengsheng Zhang |
On Feature Combination for Music Classification. |
SSPR/SPR |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, James Swee Chuan Tan |
Mass estimation and its applications. |
KDD |
2010 |
DBLP DOI BibTeX RDF |
mass estimation |
| 1 | Kai Ming Ting, Jonathan R. Wells, Swee Chuan Tan, Shyh Wei Teng, Geoffrey I. Webb |
FaSS: Ensembles for Stable Learners. |
MCS |
2009 |
DBLP DOI BibTeX RDF |
stable learners, Local models |
| 1 | Kai Ming Ting, Lian Zhu |
Boosting Support Vector Machines Successfully. |
MCS |
2009 |
DBLP DOI BibTeX RDF |
support vector machines, Boosting, local models |
| 1 | Fei Tony Liu, Kai Ming Ting, Yang Yu, Zhi-Hua Zhou |
Spectrum of Variable-Random Trees. |
J. Artif. Intell. Res. (JAIR) |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou |
Isolation Forest. |
ICDM |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Takashi Washio, Einoshin Suzuki, Kai Ming Ting, Akihiro Inokuchi (eds.) |
Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 Proceedings |
PAKDD |
2008 |
DBLP BibTeX RDF |
|
| 1 | Swee Chuan Tan, Kai Ming Ting, Shyh Wei Teng |
Issues of grid-cluster retrievals in swarm-based clustering. |
IEEE Congress on Evolutionary Computation |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting |
To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators. |
IEEE Trans. Knowl. Data Eng. |
2007 |
DBLP DOI BibTeX RDF |
Machine learning, Performance evaluation of algorithms and systems |
| 1 | Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting |
Classifying under computational resource constraints: anytime classification using probabilistic estimators. |
Machine Learning |
2007 |
DBLP DOI BibTeX RDF |
Anytime learning, Anytime classification, Bayesian classifiers, Ensemble methods, Probabilistic prediction |
| 1 | Yang Yu, Zhi-Hua Zhou, Kai Ming Ting |
Cocktail Ensemble for Regression. |
ICDM |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Swee Chuan Tan, Kai Ming Ting, Shyh Wei Teng |
Examining Dissimilarity Scaling in Ant Colony Approaches to Data Clustering. |
ACAL |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Fei Tony Liu, Kai Ming Ting |
Variable Randomness in Decision Tree Ensembles. |
PAKDD |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Tasadduq Imam, Kai Ming Ting, Joarder Kamruzzaman |
z-SVM: An SVM for Improved Classification of Imbalanced Data. |
Australian Conference on Artificial Intelligence |
2006 |
DBLP DOI BibTeX RDF |
z-SVM, support vector machine, class imbalance, SMOTE |
| 1 | Ying Yang, Geoffrey I. Webb, Jesús Cerquides, Kevin B. Korb, Janice R. Boughton, Kai Ming Ting |
To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles. |
ECML |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Shyh Wei Teng, Kai Ming Ting |
Ehipasiko: A Content-based Image Indexing and Retrieval System. |
AMT |
2006 |
DBLP BibTeX RDF |
|
| 1 | Geoffrey I. Webb, Kai Ming Ting |
On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions. |
Machine Learning |
2005 |
DBLP DOI BibTeX RDF |
ROC analysis, model evaluation |
| 1 | Fei Tony Liu, Kai Ming Ting, Wei Fan |
Maximizing Tree Diversity by Building Complete-Random Decision Trees. |
PAKDD |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey I. Webb |
Ensemble Selection for SuperParent-One-Dependence Estimators. |
Australian Conference on Artificial Intelligence |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Kwok Pan Pang, Kai Ming Ting |
Improving the Centered CUSUMS Statistic for Structural Break Detection in Time Series. |
Australian Conference on Artificial Intelligence |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting |
Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees. |
ECML |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting, Zijian Zheng |
A Study of AdaBoost with Naive Bayesian Classifiers: Weakness and Improvement. |
Computational Intelligence |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting, Regina Jing Ying Quek |
Model Stability: A key factor in determining whether an algorithm produces an optimal model from a matching distribution. |
ICDM |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting |
An Instance-Weighting Method to Induce Cost-Sensitive Trees. |
IEEE Trans. Knowl. Data Eng. |
2002 |
DBLP DOI BibTeX RDF |
greedy divide-and-conquer algorithm, instance weighting, decision trees, induction, Cost-sensitive |
| 1 | Kai Ming Ting |
Issues in Classifier Evaluation using Optimal Cost Curves. |
ICML |
2002 |
DBLP BibTeX RDF |
|
| 1 | Kai Ming Ting |
A Study on the Effect of Class Distribution Using Cost-Sensitive Learning. |
Discovery Science |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting |
An Empirical Study of MetaCost Using Boosting Algorithms. |
ECML |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting |
A Comparative Study of Cost-Sensitive Boosting Algorithms. |
ICML |
2000 |
DBLP BibTeX RDF |
|
| 1 | Kai Ming Ting, Boon Toh Low, Ian H. Witten |
Learning from Batched Data: Model Combination Versus Data Combination. |
Knowl. Inf. Syst. |
1999 |
DBLP BibTeX RDF |
|
| 1 | Kai Ming Ting, Ian H. Witten |
Issues in Stacked Generalization. |
J. Artif. Intell. Res. (JAIR) |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting, Zijian Zheng |
Improving the Performance of Boosting for Naive Bayesian Classification. |
PAKDD |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting |
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees. |
ICML |
1999 |
DBLP BibTeX RDF |
|
| 1 | Kai Ming Ting |
Inducing Cost-Sensitive Trees via Instance Weighting. |
PKDD |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting, Zijian Zheng |
Boosting Trees for Cost-Sensitive Classifications. |
ECML |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting, Zijian Zheng |
Boosting Cost-Sensitive Trees. |
Discovery Science |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting |
Decision Combination Based on the Characterisation of Predictive Accuracy. |
Intell. Data Anal. |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting |
Discretisation in Lazy Learning Algorithms. |
Artif. Intell. Rev. |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting, Ian H. Witten |
Stacked Generalizations: When Does It Work? |
IJCAI |
1997 |
DBLP BibTeX RDF |
|
| 1 | Kai Ming Ting, Boon Toh Low |
Model Combination in the Multiple-Data-Batches Scenario. |
ECML |
1997 |
DBLP DOI BibTeX RDF |
data combination, near-asymptotic performance, empirical evaluation, learning curve, model combination |
| 1 | Kai Ming Ting, Ian H. Witten |
Stacking Bagged and Dagged Models. |
ICML |
1997 |
DBLP BibTeX RDF |
|
| 1 | Kai Ming Ting |
The Characterisation of Predictive Accuracy and Decision Combination. |
ICML |
1996 |
DBLP BibTeX RDF |
|
| 1 | Kai Ming Ting |
Towards using a Single Uniform Metric in Instance-Based Learning. |
ICCBR |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Kai Ming Ting |
An M-of-N Rule Induction Algorithm and its Application to DNA Domain. |
HICSS |
1994 |
DBLP BibTeX RDF |
|
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