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» Adaptive Selectivity Estimation Using Query Feedback
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ICML
2005
IEEE
16 years 3 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
SIGMOD
1995
ACM
80views Database» more  SIGMOD 1995»
15 years 5 months ago
Join Queries with External Text Sources: Execution and Optimization Techniques
Text is a pervasive information type, and many applications require querying over text sources in addition to structured data. This paper studies the problem of query processing i...
Surajit Chaudhuri, Umeshwar Dayal, Tak W. Yan
CIKM
2005
Springer
15 years 7 months ago
Towards estimating the number of distinct value combinations for a set of attributes
Accurately and efficiently estimating the number of distinct values for some attribute(s) or sets of attributes in a data set is of critical importance to many database operation...
Xiaohui Yu, Calisto Zuzarte, Kenneth C. Sevcik
IPPS
2007
IEEE
15 years 8 months ago
Popularity Adaptive Search in Hybrid P2P Systems
In a hybrid peer-to-peer (P2P) system, flooding and DHT are both employed for content locating. The decision to use flooding or DHT largely depends on the population of desired da...
Xiaoqiu Shi, Jinsong Han, Yunhao Liu, Lionel M. Ni
TSMC
2002
105views more  TSMC 2002»
15 years 1 months ago
On the use of learning automata in the control of broadcast networks: a methodology
Due to its fixed assignment nature, the well-known time division multiple access (TDMA) protocol suffers from poor performance when the offered traffic is bursty. In this paper, an...
Georgios I. Papadimitriou, Mohammad S. Obaidat, An...