-
1
-
-
77953992150
-
Examining multiple potential models in end-user interactive concept learning
-
Amershi, S., Fogarty, J., Kapoor, A. and Tan, D. Examining Multiple Potential Models in End-User Interactive Concept Learning. CHI 2010, 1357-1360.
-
CHI 2010
, pp. 1357-1360
-
-
Amershi, S.1
Fogarty, J.2
Kapoor, A.3
Tan, D.4
-
2
-
-
70450159287
-
Overview-based examples selection in mixed-initiative interactive concept learning
-
Amershi, S., Fogarty, J., Kapoor, A. and Tan, D. Overview-Based Examples Selection in Mixed-Initiative Interactive Concept Learning. UIST 2009, 247-256.
-
UIST 2009
, pp. 247-256
-
-
Amershi, S.1
Fogarty, J.2
Kapoor, A.3
Tan, D.4
-
3
-
-
79958125062
-
CueT: Human-guided fast and accurate network alarm triage
-
Amershi, S., Lee, B., Kapoor, A., Mahajan, R. and Christian, B. CueT: Human-Guided Fast and Accurate Network Alarm Triage. CHI 2011, 157-166.
-
CHI 2011
, pp. 157-166
-
-
Amershi, S.1
Lee, B.2
Kapoor, A.3
Mahajan, R.4
Christian, B.5
-
4
-
-
33750595414
-
Query learning can work poorly when a human oracle is used
-
Baum, E.B. and Lang, K. Query Learning can work Poorly when a Human Oracle is Used. Neural Networks 1992.
-
Neural Networks 1992
-
-
Baum, E.B.1
Lang, K.2
-
5
-
-
4544277995
-
A CAPpella: Programming by demonstrations of context-aware applications
-
Dey, A.K., Hamid, R., Beckmann, C., Li, I. and Hsu, D. a CAPpella: Programming by Demonstrations of Context-Aware Applications. CHI 2004, 33-40.
-
CHI 2004
, pp. 33-40
-
-
Dey, A.K.1
Hamid, R.2
Beckmann, C.3
Li, I.4
Hsu, D.5
-
7
-
-
57649224033
-
CueFlik: Interactive concept learning in image search
-
Fogarty, J., Tan. D., Kapoor, A. and Winder, S. CueFlik: Interactive Concept Learning in Image Search. CHI 2008, 29-38.
-
CHI 2008
, pp. 29-38
-
-
Fogarty, J.1
Tan, D.2
Kapoor, A.3
Winder, S.4
-
8
-
-
0030350409
-
Methods and systems for alarm correlation
-
Gardner, R.D. and Harle, D.A. Methods and Systems for Alarm Correlation. GLOBECOM 1996, 136-140.
-
GLOBECOM 1996
, pp. 136-140
-
-
Gardner, R.D.1
Harle, D.A.2
-
10
-
-
84858775391
-
Online metric learning and fast similarity search
-
Jain, P., Kulis, B., Dhillon, I.S., and Grauman, K. Online Metric Learning and Fast Similarity Search. NIPS 2008, 761-768.
-
NIPS 2008
, pp. 761-768
-
-
Jain, P.1
Kulis, B.2
Dhillon, I.S.3
Grauman, K.4
-
11
-
-
41549146576
-
Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical studies
-
Krause, A., Singh, A. and Guestrin, C. Near-optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies. Journal of Machine Learning Research 9 (2008), 235-284. (Pubitemid 351469021)
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 235-284
-
-
Krause, A.1
Singh, A.2
Guestrin, C.3
-
12
-
-
70450194653
-
Learning to generalize for complex selection tasks
-
Ritter, A. and Basu, S. Learning to Generalize for Complex Selection Tasks. IUI 2009, 167-176.
-
IUI 2009
, pp. 167-176
-
-
Ritter, A.1
Basu, S.2
-
13
-
-
4444380999
-
A survey of fault localization techniques in computer networks
-
Steinder, M. and Sethi, A.S. A Survey of Fault Localization Techniques in Computer Networks. Science of Computer Programming 53 (2004), 165-194.
-
(2004)
Science of Computer Programming
, vol.53
, pp. 165-194
-
-
Steinder, M.1
Sethi, A.S.2
-
14
-
-
0034792634
-
Support vector machine active learning for image retrieval
-
Tong, S. and Chang, E. Support Vector Machine Active Learning for Image Retrieval. Multimedia 2001, 107-118.
-
Multimedia 2001
, pp. 107-118
-
-
Tong, S.1
Chang, E.2
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