Export 16 results:
Title Type [ Year(Asc)]
Filters: Keyword is machine learning  [Clear All Filters]
2013
M. Pickett, Aha, D. W., and J Trafton, G., Acquiring user models to test automated assistants, in Florida Artificial Intelligence Research Society Conference, St. Pete Beach, FL, 2013. Download PDF (170.46 KB)
D. C. Uthus and Aha, D. W., Detecting bot-answerable questions in Ubuntu chat, in International Joint Conference on Natural Language Processing, Nagoya, Japan, 2013. Download PDF (133.49 KB)
D. C. Uthus and Aha, D. W., Extending word highlighting in multiparticipant chat, in Florida Artificial Intelligence Research Society Conference, St. Pete Beach, FL, 2013. Download PDF (174.67 KB)
L. K. McDowell and Aha, D. W., Labels or attributes? Rethinking the neighbors for collective classification in sparsely-labeled networks, in International Conference on Information and Knowledge Management, San Francisco, CA, 2013. Download PDF (338.46 KB)
D. C. Uthus and Aha, D. W., Ubuntu Internet Relay Chat Archives for Multiparticipant Chat Analysis, in AAAI Spring Symposium on Analyzing Microtext, Stanford, CA, 2013. Download PDF (99.29 KB)
M. Abramson and Aha, D. W., User authentication from Web browsing behavior, in Florida Artificial Intelligence Research Society Conference, St. Pete Beach, FL, 2013. Download PDF (225.22 KB)
2012
M. Abramson and Aha, D. W., What is in a URL? Genre classification of webpages from URLs, in AAAI Workshop on Intelligent Techniques for Web Personalization and Recommendation, Toronto (Ontario), Canada, 2012. Download PDF (255.19 KB)
2011
I. Guyon, Dror, G., Lemaire, V., Taylor, G., and Aha, D. W., Unsupervised and transfer learning challenge, in International Joint Conference on Neural Networks, San Jose, CA, 2011. Download PDF (204.74 KB)
2010
K. Moy Gupta and Aha, D. W., Adaptive Web Services Brokering, in Machine Interpretations of Patterns: Image Analysis and Data Mining, Singapore: World Scientific Press, 2010. Download PDF (362.15 KB)
D. W. Aha and Schneider, A., The DARPA Deep Learning Program’s broad evaluation plan, Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence, Washington, DC, AIC-11-003, 2010. Download PDF (1.07 MB)
L. K. McDowell, Gupta, K. Moy, and Aha, D. W., Meta-prediction in collective classification, in Florida Artificial Intelligence Research Society Conference, Daytona Beach, FL, 2010. Download PDF (648.07 KB)
2009
K. Moy Gupta, Aha, D. W., and Moore, P., Case-based collective inference for maritime object classification, in International Conference on Case-Based Reasoning, Seattle, WA, 2009. Downoad PDF (876.59 KB)
D. W. Aha, Molineaux, M., and Sukthankar, G., Case-based reasoning for transfer learning, in International Conference on Case-Based Reasoning, Seattle, WA, 2009. Download PDF (458.6 KB)
N. Li, Stracuzzi, D. J., Cleveland, G., Konik, T., Shapiro, D., Molineaux, M., Aha, D. W., and Ali, K., Constucting game agents from video of human behavior, in Conference on Artificial Intelligence and Interactive Digital Entertainment, Stanford, CA, 2009. Download PDF (450.73 KB)
K. Laviers, Sukthankar, G., Molineaux, M., and Aha, D. W., Improving offensive performance through opponent modeling, in Conference on Artificial Intelligence and Interactive Digital Entertainment, Stanford, CA, 2009. Download PDF (0 bytes)
L. K. McDowell, Gupta, K. Moy, and Aha, D. W., Using caution to explain and improve collective classification, Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence, Washington, DC, AIC-09-140, 2009. Download PDF (183.34 KB)