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Note: Links lead to the DBLP on the Web. Bhavani Raskutti Catherine Edwards , Bhavani Raskutti: The Effect of Attribute Scaling on the Performance of Support Vector Machines. Australian Conference on Artificial Intelligence 2004 : 500-512 Alan Herschtal , Bhavani Raskutti: Optimising area under the ROC curve using gradient descent. ICML 2004 Adam Kowalczyk , Bhavani Raskutti, Herman L. Ferrá : Exploring Potential of Leave-One-Out Estimator for Calibration of SVM in Text Mining. PAKDD 2004 : 361-372 Bhavani Raskutti, Adam Kowalczyk : Extreme re-balancing for SVMs: a case study. SIGKDD Explorations 6 (1): 60-69 (2004) Ingrid Zukerman , Bhavani Raskutti, Yingying Wen : Query Expansion and Query Reduction in Document Retrieval. ICTAI 2003 : 552-559 Adam Kowalczyk , Bhavani Raskutti: Exploring Fringe Settings of SVMs for Classification. PKDD 2003 : 278-290 Ingrid Zukerman , Bhavani Raskutti, Yingying Wen : Experiments in Query Paraphrasing for Information Retrieval. Australian Joint Conference on Artificial Intelligence 2002 : 24-35 Ingrid Zukerman , Bhavani Raskutti: Lexical Query Paraphrasing for Document Retrieval. COLING 2002 Bhavani Raskutti, Herman L. Ferrá , Adam Kowalczyk : Using Unlabelled Data for Text Classification through Addition of Cluster Parameters. ICML 2002 : 514-521 Bhavani Raskutti, Herman L. Ferrá , Adam Kowalczyk : Combining clustering and co-training to enhance text classification using unlabelled data. KDD 2002 : 620-625 Adam Kowalczyk , Bhavani Raskutti: One Class SVM for Yeast Regulation Prediction. SIGKDD Explorations 4 (2): 99-100 (2002) Adam Kowalczyk , Bhavani Raskutti: Learner's Self-Assessment: A Case Study of SVM for Information Retrieval. Australian Joint Conference on Artificial Intelligence 2001 : 249-260 Bhavani Raskutti, Herman L. Ferrá , Adam Kowalczyk : Second Order Features for Maximising Text Classification Performance. ECML 2001 : 419-430 Bhavani Raskutti, Christopher Leckie : An Evaluation of Criteria for Measuring the Quality of Clusters. IJCAI 1999 : 905-910 P. P. Sember , T. R. Mueller , N. Baker , M. C. Flower , Bhavani Raskutti, W. Wen : Web Cache Focusing Devices. Computer Networks 30 (1-7): 682-684 (1998) Bhavani Raskutti, Anthony Beitz : Sample Set Assessment for Providing Personalised Recommendations. Australian Joint Conference on Artificial Intelligence 1997 : 359-368 Ian Thomas , Ingrid Zukerman , Jonathan J. Oliver , David W. Albrecht , Bhavani Raskutti: Lexical Access for Speech Understanding using Minimum Message Length Encoding. UAI 1997 : 464-471 Bhavani Raskutti, Ingrid Zukerman : Generating queries and replies during information-seeking interactions. Int. J. Hum.-Comput. Stud. 47 (6): 689-734 (1997) Bhavani Raskutti, Anthony Beitz , Belinda Ward : A Feature-based Approach to Recommending Selections based on Past Preferences. User Model. User-Adapt. Interact. 7 (3): 179-218 (1997) Ian Thomas , Ingrid Zukerman , Jonathan J. Oliver , Bhavani Raskutti: Lexical Access using Minimum Message Length Encoding. PRICAI 1996 : 229-240 Bhavani Raskutti, Anthony Beitz : Acquiring User Preferences for Information Filtering in Interactive Multi-Media Services. PRICAI 1996 : 47-58 Bhavani Raskutti, Ingrid Zukerman : A Unified Approach to Handling Uncertainty during Cooperative Consultations. PRICAI 1996 : 85-96 Bhavani Raskutti, Ingrid Zukerman : Acquisition of Information to Determine a User's Plan. ECAI 1994 : 28-32 Bhavani Raskutti, Ingrid Zukerman : Handling Uncertainty During Plan Recognition in Task-Oriented Consultation Systems. UAI 1991 : 308-315 Bhavani Raskutti, Ingrid Zukerman : Generation and Selection of Likely Interpretations during Plan Recognition in Task-Oriented Consultation Systems. User Model. User-Adapt. Interact. 1 (3-4): 323-353 (1991) 1 [ 9 ] 2 [ 11 ] 3 [ 5 ] [ 7 ] [ 10 ] 4 [ 25 ] 5 [ 13 ] [ 16 ] [ 17 ] [ 23 ] 6 [ 11 ] 7 [ 24 ] 8 [ 13 ] [ 14 ] [ 15 ] [ 16 ] [ 17 ] [ 20 ] [ 22 ] [ 23 ] 9 [ 12 ] 10 [ 11 ] 11 [ 6 ] [ 9 ] 12 [ 11 ] 13 [ 6 ] [ 9 ] 14 [ 7 ] 15 [ 11 ] 16 [ 19 ] [ 21 ] 17 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 6 ] [ 8 ] [ 9 ] [ 18 ] [ 19 ] [ 21 ]  ©2005 Association for Computing Machinery |
