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ICML
2005
IEEE
16 years 2 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
VLDB
2002
ACM
108views Database» more  VLDB 2002»
15 years 1 months ago
Adaptive Index Structures
Traditional indexes aim at optimizing the node accesses during query processing, which, however, does not necessarily minimize the total cost due to the possibly large number of r...
Yufei Tao, Dimitris Papadias
ICICS
2007
Springer
15 years 5 months ago
Time and Space Efficient Algorithms for Two-Party Authenticated Data Structures
Authentication is increasingly relevant to data management. Data is being outsourced to untrusted servers and clients want to securely update and query their data. For example, in ...
Charalampos Papamanthou, Roberto Tamassia
GIS
2006
ACM
16 years 2 months ago
Exploiting a page-level upper bound for multi-type nearest neighbor queries
Given a query point and a collection of spatial features, a multi-type nearest neighbor (MTNN) query finds the shortest tour for the query point such that only one instance of eac...
Xiaobin Ma, Shashi Shekhar, Hui Xiong, Pusheng Zha...
SIGIR
2011
ACM
14 years 4 months ago
Faster top-k document retrieval using block-max indexes
Large search engines process thousands of queries per second over billions of documents, making query processing a major performance bottleneck. An important class of optimization...
Shuai Ding, Torsten Suel