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ICML
2005
IEEE
14 years 11 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
ESA
2010
Springer
220views Algorithms» more  ESA 2010»
13 years 11 months ago
Data Structures for Storing Small Sets in the Bitprobe Model
abstract appeared in Proc. 24th Annual Symposium of Computational Geometry (SoCG), 2008, pp. 338-345. S. Shannigrahi and S. P. Pal, "Efficient Prufer-like Coding and Counting ...
Jaikumar Radhakrishnan, Smit Shah 0001, Saswata Sh...
IDA
2005
Springer
14 years 4 months ago
Learning from Ambiguously Labeled Examples
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
Eyke Hüllermeier, Jürgen Beringer
JIIS
2008
133views more  JIIS 2008»
13 years 10 months ago
Maintaining frequent closed itemsets over a sliding window
In this paper, we study the incremental update of Frequent Closed Itemsets (FCIs) over a sliding window in a high-speed data stream. We propose the notion of semi-FCIs, which is to...
James Cheng, Yiping Ke, Wilfred Ng
ICSE
2004
IEEE-ACM
14 years 10 months ago
Automated Generation of Test Programs from Closed Specifications of Classes and Test Cases
Most research on automated specification-based software testing has focused on the automated generation of test cases. Before a software system can be tested, it must be set up ac...
Wee Kheng Leow, Siau-Cheng Khoo, Yi Sun