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Florina
Results: 164

#	Item
101	Finding low error clusterings Maria-Florina Balcan Mark Braverman Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-05-21 20:12:17 Machine learning Data mining Geostatistics K-means clustering Correlation clustering K-medians clustering Data stream clustering Single-linkage clustering Statistics Cluster analysis Multivariate statistics
102	New Theoretical Frameworks for Machine Learning Maria-Florina Balcan May 2007 School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-05-09 11:42:20 Supervised learning Semi-supervised learning Active learning Computational learning theory Algorithm Support vector machine Co-training Kernel methods Perceptron Machine learning Artificial intelligence Learning
103	Reducing Mechanism Design to Algorithm Design via Machine Learning ? Maria-Florina Balcan 1 Carnegie Mellon University, Pittsburgh, PA[removed]Avrim Blum 1 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-09-24 23:50:29 Mechanism design Business Problem solving Economics Algorithmic mechanism design Auction Combinatorial auction Algorithm Incentive compatibility Game theory Auction theory Auctioneering
104	Margin Based Active Learning Maria-Florina Balcan1 , Andrei Broder2 , and Tong Zhang3 1 Computer Science Department, Carnegie Mellon University, Pittsburgh, PA. [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-10-25 14:25:54 Mathematical sciences Learning Stability Sample size determination
105	Mechanism Design via Machine Learning∗ Maria-Florina Balcan † Department of Computer Science Carnegie Mellon University [removed] Jason D. Hartline Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-10-25 14:38:59 Mathematical analysis Business Auction Big O notation XTR Vickrey auction Auction theory Auctioneering Mathematics
106	A Theory of Loss-Leaders: Making Money by Pricing Below Cost Maria-Florina Balcan, Avrim Blum, T-H. Hubert Chan, and MohammadTaghi Hajiaghayi Computer Science Department, Carnegie Mellon University {ninamf,avrim,hubert,h Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-10-26 14:42:41 Finance Economic model Valuation Discounting Penetration pricing Pricing strategies Marketing Pricing Business
107	Open Problems in Efficient Semi-Supervised PAC Learning Avrim Blum? and Maria-Florina Balcan∗ Carnegie Mellon University 1 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-10-25 14:33:39 Computational statistics Semi-supervised learning Supervised learning Co-training Probably approximately correct learning Computational learning theory Support vector machine Transduction Machine learning Artificial intelligence Learning
108	Mechanism Design, Machine Learning, and Pricing Problems MARIA-FLORINA BALCAN and AVRIM BLUM School of Computer Science, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-12-18 20:30:04 Business Applied mathematics Science Combinatorial auction Operations research Algorithm Computational learning theory Auction Complexity Auction theory Auctioneering Theoretical computer science
109	Co-Training and Expansion: Towards Bridging Theory and Practice Maria-Florina Balcan Computer Science Dept. Carnegie Mellon Univ. Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-12-28 22:51:11 Entailment Logical consequence Metalogic Randomized algorithm Semi-supervised learning Markov chain Conditional independence Strength of materials Logic Probability theory Deduction
110	Approximate Clustering without the Approximation Maria-Florina Balcan∗ Avrim Blum† Abstract Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-10-05 11:16:56 Data analysis Data mining Geostatistics Machine learning K-medians clustering Hierarchical clustering K-means clustering Consensus clustering Statistics Multivariate statistics Cluster analysis

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