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» Association Rule Mining Algorithms for Set-Valued Data
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SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
14 years 9 days ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
ALT
2009
Springer
14 years 4 months ago
Average-Case Active Learning with Costs
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
Andrew Guillory, Jeff A. Bilmes
EOR
2007
165views more  EOR 2007»
13 years 7 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
ATAL
2005
Springer
14 years 29 days ago
Optimal status sets of heterogeneous agent programs
There are many situations where an agent can perform one of several sets of actions in responses to changes in its environment, and the agent chooses to perform the set of actions...
Bogdan Stroe, V. S. Subrahmanian, Sudeshna Dasgupt...
WWW
2010
ACM
14 years 2 months ago
Statistical models of music-listening sessions in social media
User experience in social media involves rich interactions with the media content and other participants in the community. In order to support such communities, it is important to...
Elena Zheleva, John Guiver, Eduarda Mendes Rodrigu...