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close this section of the library Blum, Avrim
View the document Blum, Avrim (Howard Aizenstein, Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt and Dan Roth) -- On Learning Read-k-Satisfy-j DNF - 1998
View the document Blum, Avrim (Avrim Blum, Prasad Chalasani, Sally A. Goldman and Donna K. Slonim) -- Learning with unreliable boundary queries - 1995
View the document Blum, Avrim (Avrim Blum, Adam Kalai and Hal Wasserman) -- Noise-tolerant learning, the parity problem, and the statistical query model - 2000
View the document Blum, Avrim (Avrim Blum and Tom Mitchell) -- Combining labeled and unlabeled data with co-training - 1998
View the document Blum, Avrim (John Langford and Avrim Blum) -- Microchoice bounds and self bounding learning algorithms - 1999
View the document Blum, Avrim (Avrim Blum and Carl Burch) -- On-line Learning and the Metrical Task System Problem - 2000
View the document Blum, Avrim (Avrim Blum, Alan M. Frieze, Ravi Kannan and Santosh Vempala) -- A Polynomial-Time Algorithm for Learning Noisy Linear Threshold Functions - 1998
View the document Blum, Avrim (Avrim Blum, Adam Kalai and John Langford) -- Beating the hold-out: bounds for k-fold and progressive cross-validation - 1999
View the document Blum, Avrim (Avrim Blum, Lisa Hellerstein and Nick Littlestone) -- Learning in the presence of finitely or infinitely many irrelevant attributes - 1995
View the document Blum, Avrim (Avrim Blum and Shuchi Chawla) -- Learning from Labeled and Unlabeled Data Using Graph Mincuts - 2001
View the document Blum, Avrim (Avrim Blum and Adam Kalai) -- A note on learning from multiple-instance examples - 1998
View the document Blum, Avrim (Avrim Blum and Stephen Rudich) -- Fast learning of k-term DNF formulas with queries - 1995
View the document Blum, Avrim (Avrim Blum) -- Empirical Support for Winnow and Weighted-Majority Algorithms: Results on a Calendar Scheduling Domain - 1997
View the document Blum, Avrim (Avrim Blum and Ravindran Kannan) -- Learning an Intersection of a Constant Number of Halfspaces over a Uniform Distribution - 1997
View the document Blum, Avrim (Joseph O'Sullivan, John Langford, Rich Caruana and Avrim Blum) -- FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness - 2000
View the document Blum, Avrim (Avrim Blum, Prasad Chalasani, Sally A. Goldman and Donna K. Slonim) -- Learning with unreliable boundary queries - 1998
View the document Blum, Avrim (Avrim Blum) -- Empirical support for Winnow and weighted-majority based algorithms: results on a calendar scheduling domain - 1995
View the document Blum, Avrim (Avrim Blum and Adam Kalai) -- Universal Portfolios With and Without Transaction Costs - 1999