-
2
-
-
33749252873
-
-
MIT Press, Cambridge, MA
-
Olivier Chapelle, Bernhard Schölkopf, and Alexander Zien, editors. 2006. Semi-Supervised Learning. MIT Press, Cambridge, MA.
-
(2006)
Semi-supervised Learning
-
-
Chapelle, O.1
Schölkopf, B.2
Zien, A.3
-
10
-
-
84859023447
-
Learning word vectors for sentiment analysis
-
Andrew L Maas, Raymond E Daly, Peter T Pham, Dan Huang, Andrew Y Ng, and Christopher Potts. 2011. Learning word vectors for sentiment analysis. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1, pages 142-150.
-
(2011)
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
, vol.1
, pp. 142-150
-
-
Maas, A.L.1
Daly, R.E.2
Pham, P.T.3
Huang, D.4
Ng, A.Y.5
Potts, C.6
-
12
-
-
84867858853
-
Attributes for classifier feedback
-
Springer
-
Amar Parkash and Devi Parikh. 2012. Attributes for classifier feedback. In Computer Vision-ECCV 2012, pages 354-368. Springer.
-
(2012)
Computer Vision-ECCV
, vol.2012
, pp. 354-368
-
-
Parkash, A.1
Parikh, D.2
-
13
-
-
80555140075
-
Scikit-learn: Machine learning in python
-
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. 2011. Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12:2825-2830.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2825-2830
-
-
Pedregosa, F.1
Varoquaux, G.2
Gramfort, A.3
Michel, V.4
Thirion, B.5
Grisel, O.6
Blondel, M.7
Prettenhofer, P.8
Weiss, R.9
Dubourg, V.10
Vanderplas, J.11
Passos, A.12
Cournapeau, D.13
Brucher, M.14
Perrot, M.15
Duchesnay, E.16
-
16
-
-
0442319140
-
Toward optimal active learning through sampling estimation of error reduction
-
Nicholas Roy and Andrew McCallum. 2001. Toward optimal active learning through sampling estimation of error reduction. In International Conference on Machine Learning, pages 441-448.
-
(2001)
International Conference on Machine Learning
, pp. 441-448
-
-
Roy, N.1
McCallum, A.2
-
23
-
-
34648837240
-
Toward harnessing user feedback for machine learning
-
Simone Stumpf, Vidya Rajaram, Lida Li, Margaret Burnett, Thomas Dietterich, Erin Sullivan, Russell Drummond, and Jonathan Herlocker. 2007. Toward harnessing user feedback for machine learning. In Proceedings of the 12th international conference on Intelligent user interfaces, pages 82-91.
-
(2007)
Proceedings of the 12th International Conference on Intelligent User Interfaces
, pp. 82-91
-
-
Stumpf, S.1
Rajaram, V.2
Li, L.3
Burnett, M.4
Dietterich, T.5
Sullivan, E.6
Drummond, R.7
Herlocker, J.8
-
24
-
-
57349158693
-
Integrating rich user feedback into intelligent user interfaces
-
S. Stumpf, E. Sullivan, E. Fitzhenry, I. Oberst, W.K. Wong, and M. Burnett. 2008. Integrating rich user feedback into intelligent user interfaces. In Proceedings of the 13th international conference on Intelligent user interfaces, pages 50-59.
-
(2008)
Proceedings of the 13th International Conference on Intelligent User Interfaces
, pp. 50-59
-
-
Stumpf, S.1
Sullivan, E.2
Fitzhenry, E.3
Oberst, I.4
Wong, W.K.5
Burnett, M.6
-
25
-
-
0042868698
-
Support vector machine active learning with applications to text classification
-
Simon Tong and Daphne Koller. 2001. Support vector machine active learning with applications to text classification. Journal of Machine Learning Research, 2:45-66.
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 45-66
-
-
Tong, S.1
Koller, D.2
-
26
-
-
0028529307
-
Knowledge-based artificial neural networks
-
Geoffrey G Towell and Jude W Shavlik. 1994. Knowledge-based artificial neural networks. Artificial intelligence, 70(1):119-165.
-
(1994)
Artificial Intelligence
, vol.70
, Issue.1
, pp. 119-165
-
-
Towell, G.G.1
Shavlik, J.W.2
-
28
-
-
77957858975
-
Using " annotator rationales" to improve machine learning for text categorization
-
Omar Zaidan, Jason Eisner, and Christine D Piatko. 2007. Using" annotator rationales" to improve machine learning for text categorization. In HLT-NAACL, pages 260-267.
-
(2007)
HLT-NAACL
, pp. 260-267
-
-
Zaidan, O.1
Eisner, J.2
Piatko, C.D.3
|