Sciweavers

INFOCOM
2012
IEEE
11 years 7 months ago
The Variable-Increment Counting Bloom Filter
—Counting Bloom Filters (CBFs) are widely used in networking device algorithms. They implement fast set representations to support membership queries with limited error, and supp...
Ori Rottenstreich, Yossi Kanizo, Isaac Keslassy
AI
2010
Springer
13 years 4 months ago
Learning conditional preference networks
We investigate the problem of eliciting CP-nets in the well-known model of exact learning with equivalence and membership queries. The goal is to identify a preference ordering wi...
Frédéric Koriche, Bruno Zanuttini
COLT
2008
Springer
13 years 6 months ago
On the Power of Membership Queries in Agnostic Learning
We study the properties of the agnostic learning framework of Haussler [Hau92] and Kearns, Schapire and Sellie [KSS94]. In particular, we address the question: is there any situat...
Vitaly Feldman
CCS
2008
ACM
13 years 6 months ago
Authenticated hash tables
Hash tables are fundamental data structures that optimally answer membership queries. Suppose a client stores n elements in a hash table that is outsourced at a remote server so t...
Charalampos Papamanthou, Roberto Tamassia, Nikos T...
COLT
1995
Springer
13 years 8 months ago
Learning with Unreliable Boundary Queries
We introduce a new model for learning with membership queries in which queries near the boundary of a target concept may receive incorrect or “don’t care” responses. In part...
Avrim Blum, Prasad Chalasani, Sally A. Goldman, Do...
ALT
1995
Springer
13 years 8 months ago
Learning Unions of Tree Patterns Using Queries
This paper characterizes the polynomial time learnability of TPk, the class of collections of at most k rst-order terms. A collection in TPk de nes the union of the languages de n...
Hiroki Arimura, Hiroki Ishizaka, Takeshi Shinohara
FOCS
2004
IEEE
13 years 8 months ago
Learning with Errors in Answers to Membership Queries
We study the learning models defined in [AKST97]: Learning with equivalence and limited membership queries and learning with equivalence and malicious membership queries. We show ...
Laurence Bisht, Nader H. Bshouty, Lawrance Khoury
ACNS
2006
Springer
138views Cryptology» more  ACNS 2006»
13 years 8 months ago
Syntax-Driven Private Evaluation of Quantified Membership Queries
Abstract. Membership queries are basic predicate operations that apply to datasets. Quantifications of such queries express global properties between datasets, including subset inc...
Aggelos Kiayias, Antonina Mitrofanova
MFCS
1990
Springer
13 years 8 months ago
On Checking Versus Evaluation of Multiple Queries
The plausibility of computing the answers to many membership queries to a hard set with few queries is the subject of the theory of terseness. In this paper, we develop companion ...
William I. Gasarch, Lane A. Hemachandra, Albrecht ...
ICALP
2001
Springer
13 years 9 months ago
Separating Quantum and Classical Learning
We consider a model of learning Boolean functions from quantum membership queries. This model was studied in [26], where it was shown that any class of Boolean functions which is i...
Rocco A. Servedio