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» Measuring empirical computational complexity
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NIPS
2007
13 years 7 months ago
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations
In transfer learning we aim to solve new problems using fewer examples using information gained from solving related problems. Transfer learning has been successful in practice, a...
M. M. Mahmud, Sylvian R. Ray
ISLPED
1996
ACM
102views Hardware» more  ISLPED 1996»
13 years 10 months ago
High-level power estimation and the area complexity of Boolean functions
Estimation of the area complexity of a Boolean function from its functional description is an important step towards a power estimation capability at the register transfer level (...
Mahadevamurty Nemani, Farid N. Najm
AMAI
2011
Springer
12 years 5 months ago
Similarity measures in formal concept analysis
Formal concept analysis (FCA) has been applied successively in diverse fields such as data mining, conceptual modeling, social networks, software engineering, and the semantic we...
Faris Alqadah, Raj Bhatnagar
KDD
2001
ACM
150views Data Mining» more  KDD 2001»
14 years 6 months ago
Empirical bayes screening for multi-item associations
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
William DuMouchel, Daryl Pregibon
IJCNN
2007
IEEE
14 years 2 days ago
Evaluation of Performance Measures for SVR Hyperparameter Selection
— To obtain accurate modeling results, it is of primal importance to find optimal values for the hyperparameters in the Support Vector Regression (SVR) model. In general, we sea...
Koen Smets, Brigitte Verdonk, Elsa Jordaan