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» Machine learning problems from optimization perspective
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110
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ICML
2007
IEEE
16 years 3 months ago
Percentile optimization in uncertain Markov decision processes with application to efficient exploration
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
Erick Delage, Shie Mannor
106
Voted
CCE
2010
14 years 11 months ago
Green process design, green energy, and sustainability: A systems analysis perspective
This paper presents a systems analysis perspective that extends the traditional process design framework to green process design, green energy and industrial ecology leading to su...
Urmila M. Diwekar, Yogendra N. Shastri
106
Voted
CIS
2005
Springer
15 years 7 months ago
Two Adaptive Matching Learning Algorithms for Independent Component Analysis
Independent component analysis (ICA) has been applied in many fields of signal processing and many ICA learning algorithms have been proposed from different perspectives. However...
Jinwen Ma, Fei Ge, Dengpan Gao
112
Voted
ALT
2001
Springer
15 years 11 months ago
Real-Valued Multiple-Instance Learning with Queries
While there has been a significant amount of theoretical and empirical research on the multiple-instance learning model, most of this research is for concept learning. However, f...
Daniel R. Dooly, Sally A. Goldman, Stephen Kwek
130
Voted
ICML
2007
IEEE
16 years 3 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...