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1
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36849058795
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20 Newsgroups. http://kdd.ics.uci.edu/databases/20newsgroups/ 20newsgroups.html.
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20 Newsgroups
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2
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0000064536
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Visual classification: An interactive approach to decision tree construction
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Ankerst, M., Elsen, C., Ester, M. and Kriegel, H.-P. Visual classification: an interactive approach to decision tree construction. KDD 1999.
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KDD 1999
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Ankerst, M.1
Elsen, C.2
Ester, M.3
Kriegel, H.-P.4
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3
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0042280028
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Visualizing the Simple Bayesian Classifier
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[ed.] Fayyad, U., Grinstein, G. and Wierse, A.
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Becker, B., Kohavi, R. and Sommerfield, D. Visualizing the Simple Bayesian Classifier. Information Visualization in Data Mining and Knowledge Discovery, [ed.] Fayyad, U., Grinstein, G. and Wierse, A. (2001).
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(2001)
Information Visualization in Data Mining and Knowledge Discovery
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Becker, B.1
Kohavi, R.2
Sommerfield, D.3
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4
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0035789668
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Gaining insights into support vector machine pattern classifiers using projection-based tour methods
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Caragea, D., Cook, D. and Honavar, V.G. Gaining insights into support vector machine pattern classifiers using projection-based tour methods. KDD 2001.
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KDD 2001
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Caragea, D.1
Cook, D.2
Honavar, V.G.3
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5
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0004188848
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Wiley-Interscience, Hoboken, NJ, USA
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Cover, T.M. and Thomas, A.J. Elements of Information Theory. Wiley-Interscience, Hoboken, NJ, USA, 2006.
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(2006)
Elements of Information Theory
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Cover, T.M.1
Thomas, A.J.2
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6
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44449173642
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HMM Editor: A visual editing tool for profile hidden Markov models
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Dai, J. and Cheng, J. HMM Editor: a visual editing tool for profile hidden Markov models. BMC Genomics 9, Suppl1 (2008).
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(2008)
BMC Genomics
, vol.9
, Issue.SUPPL. 1
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Dai, J.1
Cheng, J.2
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7
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33748991193
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Cost curves: An improved method for visualizing classifier performance
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Drummond, C. and Holte, R.C. Cost curves: An improved method for visualizing classifier performance. Machine Learning 65, 1 (2006).
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(2006)
Machine Learning
, vol.65
, pp. 1
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Drummond, C.1
Holte, R.C.2
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8
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0003922190
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Wiley-Interscience, Hoboken, NJ, USA
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Duda, R.O, Hart, P.E. and Stock, D.G. Pattern Classification. Wiley-Interscience, Hoboken, NJ, USA, 2004.
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(2004)
Pattern Classification
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Duda, R.O.1
Hart, P.E.2
Stock, D.G.3
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9
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2342622786
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Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers
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Evgeniou, T., Pontil, M. and Elisseeff, A. Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers. Machine Learning 55, 1 (2004).
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(2004)
Machine Learning
, vol.55
, pp. 1
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Evgeniou, T.1
Pontil, M.2
Elisseeff, A.3
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11
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33144466753
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One-Shot Learning of Object Categories
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Fei-Fei, L., Fergus, R. and Perona, P. One-Shot Learning of Object Categories. IEEE Transactions on Pattern Analysis and Machine Intelligence 28, 4 (2006).
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(2006)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.28
, pp. 4
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Fei-Fei, L.1
Fergus, R.2
Perona, P.3
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12
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84861296784
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Examining task engagement in sensor-based statistical models of human interruptibility
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Fogarty, J., Ko, A., Aung, H., Golden, E., Tang, K. and Hudson, S. Examining task engagement in sensor-based statistical models of human interruptibility. CHI 2005.
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CHI 2005
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Fogarty, J.1
Ko, A.2
Aung, H.3
Golden, E.4
Tang, K.5
Hudson, S.6
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13
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9444222046
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Visualizing class probability estimators
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Springer
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Frank, E. and Hall, M. Visualizing class probability estimators. LNCS 2838, Springer (2003).
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(2003)
LNCS
, vol.2838
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Frank, E.1
Hall, M.2
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15
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57649202086
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Feasibility and pragmatics of classifying working memory load with an electroencephalograph
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Grimes, D., Tan, D., Hudson, S., Shenoy, P. and Rao, R. Feasibility and pragmatics of classifying working memory load with an electroencephalograph. CHI 2008.
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CHI 2008
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Grimes, D.1
Tan, D.2
Hudson, S.3
Shenoy, P.4
Rao, R.5
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16
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18844386512
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Learning and Reasoning about Interruption
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Horvitz, E. and Apacible, J. Learning and Reasoning about Interruption. ICMI 2003.
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ICMI 2003
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Horvitz, E.1
Apacible, J.2
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17
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57649219677
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Experience sampling for building predictive user models: A comparative study
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Kapoor, A. and Horvitz, E. Experience sampling for building predictive user models: a comparative study. CHI 2008.
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CHI 2008
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Kapoor, A.1
Horvitz, E.2
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18
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77953967776
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Do People in HCI Use Machine Learning?
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Moustakis, V. Do People in HCI Use Machine Learning? HCI 2, (1997).
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(1997)
HCI
, vol.2
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Moustakis, V.1
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19
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77953969996
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Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning
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Patel, K., Fogarty, J., Landay, J. and Harrison, B. Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning. AAAI 2008.
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AAAI 2008
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Patel, K.1
Fogarty, J.2
Landay, J.3
Harrison, B.4
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21
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0003243224
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Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods
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MIT Press
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Platt, J.C. Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods. Advances in Large Margin Classifiers, MIT Press (1999).
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(1999)
Advances in Large Margin Classifiers
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Platt, J.C.1
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22
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77953987750
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Visualizing High-Dimensional Predictive Model Quality
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Rheingans, P. and desJardins, M. Visualizing High-Dimensional Predictive Model Quality. VIS 2000.
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VIS 2000
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Rheingans, P.1
DesJardins, M.2
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23
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77953999504
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Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces
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Saponas, S., Tan, S., Morris, D. and Balakrishnan, R. Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces. CHI 2008.
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CHI 2008
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Saponas, S.1
Tan, S.2
Morris, D.3
Balakrishnan, R.4
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24
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77953986726
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Using Visual Interpretation of Small Ensembles in Microarray Analysis
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Stiglic, G., Mertik, M., Podgorelec, V. and Kokol, P. Using Visual Interpretation of Small Ensembles in Microarray Analysis. CMBS 2006.
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CMBS 2006
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Stiglic, G.1
Mertik, M.2
Podgorelec, V.3
Kokol, P.4
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25
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84879707297
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Ensemble Matrix: Interactive Visualization to Support Machine Learning with Multiple Classifiers
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Talbot, J., Lee, B., Kapoor, A., and Tan, D. Ensemble Matrix: Interactive Visualization to Support Machine Learning with Multiple Classifiers, CHI 2009.
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CHI 2009
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Talbot, J.1
Lee, B.2
Kapoor, A.3
Tan, D.4
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27
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0035470418
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Interactive machine learning: Letting users build classifiers
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Ware, M., Frank, E., Holmes, G., Hall, M. and Witten, I. Interactive machine learning: letting users build classifiers. Int. J .Human-Computer Studies 56, 3 (2001).
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(2001)
Int. J.Human-Computer Studies
, vol.56
, pp. 3
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Ware, M.1
Frank, E.2
Holmes, G.3
Hall, M.4
Witten, I.5
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