Results 291 to 300 of about 2,345,368 (345)

Multiple classifiers by constrained minimization

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002
The paper describes an approach to combining multiple classifiers in order to improve classification accuracy. Since individual classifiers in the ensemble should somehow be uncorrelated to yield higher classification accuracy than a single classifier, we propose to train classifiers by minimizing the correlation between their classification errors.
Partha Niyogi, Jean-Benoît Pierrot, Olivier Siohan   +2 more
openaire   +2 more sources

General, Nested, and Constrained Wiberg Minimization

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
Wiberg matrix factorization breaks a matrix Y into low-rank factors U and V by solving for V in closed form given U, linearizing V(U) about U, and iteratively minimizing ||Y - UV(U)||2 with respect to U only. This approach factors the matrix while effectively removing V from the minimization.
Dennis Strelow, Qifan Wang 0001, Luo Si, Anders P. Eriksson   +3 more
openaire   +4 more sources

Training Deep Learning Models with Norm-Constrained LMOs

International Conference on Machine Learning
In this work, we study optimization methods that leverage the linear minimization oracle (LMO) over a norm-ball. We propose a new stochastic family of algorithms that uses the LMO to adapt to the geometry of the problem and, perhaps surprisingly, show ...
T. Pethick, Wanyun Xie, Kimon Antonakopoulos, Zhenyu Zhu, Antonio Silveti-Falls, V. Cevher   +5 more
semanticscholar   +1 more source

Deep Reinforcement Learning Based Latency Minimization for Mobile Edge Computing With Virtualization in Maritime UAV Communication Network

IEEE Transactions on Vehicular Technology, 2022
The rapid development of maritime activities has led to the emergence of more and more computation-intensive applications. In order to meet the huge demand for wireless communications in maritime environment, mobile edge computing (MEC) is considered as ...
Ying Liu, Junjie Yan, Xiaohui Zhao
semanticscholar   +1 more source

Constrained energy minimization and the target-constrained interference-minimized filter

Optical Engineering, 2003
This PDF contains the communication "Constrained energy minimization and the target-constrained interference-minimized filter."
openaire   +1 more source

A max-norm constrained minimization approach to 1-bit matrix completion

Journal of machine learning research, 2013
We consider in this paper the problem of noisy 1-bit matrix completion under a general non-uniform sampling distribution using the max-norm as a convex relaxation for the rank. A max-norm constrained maximum likelihood estimate is introduced and studied.
T. Cai, Wen-Xin Zhou
semanticscholar   +1 more source

Constrained multiobjective distance minimization problems

Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Various distance minimization problems (DMPs) have been proposed to visualize the search behaviors of evolutionary multiobjective optimization (EMO) algorithms in solving many-objective problems, multiobjective multimodal problems, and dynamic multiobjective problems. Among those DMPs, only the box constraints are considered.
Yusuke Nojima, Takafumi Fukase, Yiping Liu, Naoki Masuyama, Hisao Ishibuchi   +4 more
openaire   +1 more source

On constrained minimization, variational inequality and split feasibility problem via new iteration scheme in Banach spaces

Bulletin of the Iranian Mathematical Society, 2021
C. Garodia, Izhar Uddin, D. Baleanu
semanticscholar   +1 more source

Constrained Minimization: Equality Constraints

2003
The minimization of a function whose variables must satisfy inequality constraints is considered here. Because of their nature, any number of inequality constraints can be imposed. To introduce the subject, conditions for locating a boundary minimal point of a function of one independent variable (see Section 2.2) are determined using the direct ...
openaire   +1 more source

Minimizing and Stationary Sequences of Convex Constrained Minimization Problems

Journal of Optimization Theory and Applications, 2001
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openaire   +2 more sources