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» Machine learning problems from optimization perspective
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134
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SIGECOM
2006
ACM
184views ECommerce» more  SIGECOM 2006»
15 years 8 months ago
Computing pure nash equilibria in graphical games via markov random fields
We present a reduction from graphical games to Markov random fields so that pure Nash equilibria in the former can be found by statistical inference on the latter. Our result, wh...
Constantinos Daskalakis, Christos H. Papadimitriou
118
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IJCAI
2007
15 years 4 months ago
Inferring Long-term User Properties Based on Users' Location History
Recent development of location technologies enables us to obtain the location history of users. This paper proposes a new method to infer users’ longterm properties from their r...
Yutaka Matsuo, Naoaki Okazaki, Kiyoshi Izumi, Yosh...
131
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KDD
2009
ACM
215views Data Mining» more  KDD 2009»
16 years 3 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
123
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CORR
2004
Springer
103views Education» more  CORR 2004»
15 years 2 months ago
Online convex optimization in the bandit setting: gradient descent without a gradient
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
Abraham Flaxman, Adam Tauman Kalai, H. Brendan McM...
115
Voted
EMO
2009
Springer
147views Optimization» more  EMO 2009»
15 years 9 months ago
Application of MOGA Search Strategy to SVM Training Data Selection
When training Support Vector Machine (SVM), selection of a training data set becomes an important issue, since the problem of overfitting exists with a large number of training da...
Tomoyuki Hiroyasu, Masashi Nishioka, Mitsunori Mik...