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PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 7 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud
DNIS
2005
Springer
112views Database» more  DNIS 2005»
14 years 3 months ago
Modelling Peer-to-Peer Data Networks Under Complex System Theory
: A Peer-to-peer Data Network (PDN) is an open and evolving society of peer nodes that assemble into a network to share their data for mutual benefit. PDNs are enabled by distribu...
Cyrus Shahabi, Farnoush Banaei Kashani
ICDE
2003
IEEE
148views Database» more  ICDE 2003»
14 years 11 months ago
Efficient Computation of Subqueries in Complex OLAP
Expressing complex OLAP queries using group-by, aggregation, and joins can be extremely difficult. As a result of this, many alternate ways of expressing such queries have been de...
Michael H. Böhlen, Michael O. Akinde
CORR
2010
Springer
76views Education» more  CORR 2010»
13 years 10 months ago
Nonadaptive quantum query complexity
We study the power of nonadaptive quantum query algorithms, which are algorithms whose queries to the input do not depend on the result of previous queries. First, we show that an...
Ashley Montanaro
FOCS
2003
IEEE
14 years 3 months ago
Polynomial Degree vs. Quantum Query Complexity
The degree of a polynomial representing (or approximating) a function f is a lower bound for the quantum query complexity of f. This observation has been a source of many lower bo...
Andris Ambainis