Sciweavers

4255 search results - page 9 / 851
» On Learning Boolean Functions
Sort
View
COCO
2001
Springer
149views Algorithms» more  COCO 2001»
14 years 4 days ago
Quantum versus Classical Learnability
Motivated by recent work on quantum black-box query complexity, we consider quantum versions of two wellstudied models of learning Boolean functions: Angluin’s model of exact le...
Rocco A. Servedio, Steven J. Gortler
ICALP
2009
Springer
14 years 8 months ago
Limiting Negations in Formulas
Negation-limited circuits have been studied as a circuit model between general circuits and monotone circuits. In this paper, we consider limiting negations in formulas. The minimu...
Hiroki Morizumi
ALT
2004
Springer
14 years 4 months ago
Learning r-of-k Functions by Boosting
We investigate further improvement of boosting in the case that the target concept belongs to the class of r-of-k threshold Boolean functions, which answer “+1” if at least r o...
Kohei Hatano, Osamu Watanabe
ICML
2001
IEEE
14 years 8 months ago
Learning with the Set Covering Machine
We generalize the classical algorithms of Valiant and Haussler for learning conjunctions and disjunctions of Boolean attributes to the problem of learning these functions over arb...
Mario Marchand, John Shawe-Taylor
CPAIOR
2007
Springer
14 years 1 months ago
On Boolean Functions Encodable as a Single Linear Pseudo-Boolean Constraint
A linear pseudo-Boolean constraint (LPB) is an expression of the form a1 · 1 + . . . + am · m ≥ d, where each i is a literal (it assumes the value 1 or 0 depending on whether a...
Jan-Georg Smaus