Biblio
Filters: Author is Kirill Trapeznikov [Clear All Filters]
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Submitted. An LP for Sequential Learning Under Budgets. {AISTATS}. 33:987–995.
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2015. Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada. :2152–2160.
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2015. Sensor Selection by Linear Programming. CoRR. abs/1509.02954
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2014. Fast margin-based cost-sensitive classification. {IEEE} International Conference on Acoustics, Speech and Signal Processing, {ICASSP} 2014, Florence, Italy, May 4-9, 2014. :2952–2956.
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2014. An LP for Sequential Learning Under Budgets. Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2014, Reykjavik, Iceland, April 22-25, 2014. 33:987–995.
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2014. Model Selection by Linear Programming. Computer Vision - {ECCV} 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part {II}. 8690:647–662.
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2013. Multi-stage classifier design. Machine Learning. 92:479–502.
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2013. Online local linear classification. 5th {IEEE} International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, {CAMSAP} 2013, St. Martin, France, December 15-18, 2013. :173–176.
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2013. Supervised Sequential Classification Under Budget Constraints. Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2013, Scottsdale, AZ, USA, April 29 - May 1, 2013. 31:581–589.
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2012. Cost Sensitive Sequential Classification. CoRR. abs/1205.4377
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2012. Multi-Stage Classifier Design. Proceedings of the 4th Asian Conference on Machine Learning, {ACML} 2012, Singapore, Singapore, November 4-6, 2012. 25:459–474.
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2012. Two stage decision system. {IEEE} Statistical Signal Processing Workshop, {SSP} 2012, Ann Arbor, MI, USA, August 5-8, 2012. :920–923.
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2011. Active Boosted Learning (ActBoost). Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, {AISTATS} 2011, Fort Lauderdale, USA, April 11-13, 2011. 15:743–751.