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» Machine learning problems from optimization perspective
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140
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TCOM
2010
102views more  TCOM 2010»
15 years 1 months ago
A system performance approach to OSNR optimization in optical networks
Abstract—This paper studies a constrained optical signal-tonoise ratio (OSNR) optimization problem in optical networks from the perspective of system performance. A system optimi...
Yan Pan, Tansu Alpcan, Lacra Pavel
129
Voted
ICML
2000
IEEE
16 years 3 months ago
Version Space Algebra and its Application to Programming by Demonstration
Machine learning research has been very successful at producing powerful, broadlyapplicable classification learners. However, many practical learning problems do not fit the class...
Tessa A. Lau, Pedro Domingos, Daniel S. Weld
146
Voted
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
15 years 23 days ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
138
Voted
SYNASC
2006
IEEE
95views Algorithms» more  SYNASC 2006»
15 years 8 months ago
Evolutionary Support Vector Regression Machines
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, ...
128
Voted
EVOW
2009
Springer
15 years 9 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne