Results 301 to 310 of about 22,537,611 (357)
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Greedoids and Linear Objective Functions
SIAM Journal on Algebraic Discrete Methods, 1984A greedoid is a generalization of a matroid, defined as a framework for the greedy algorithm for finding an optimal basis. For a given greedoid, the authors give a class of weightings of the elements for which the ''best-in'' greedy algorithm (i.e., starting from \(\emptyset\), successively include the best possible element) is optimal.
Korte, Bernhard, Lovász, László
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2019
In this chapter we discuss some classical approaches for dealing with randomness in the objective function: expected utility maximization (von Neumann and Morgenstern) and the mean-variance model (Markowitz).
Willem K. Klein Haneveld +2 more
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In this chapter we discuss some classical approaches for dealing with randomness in the objective function: expected utility maximization (von Neumann and Morgenstern) and the mean-variance model (Markowitz).
Willem K. Klein Haneveld +2 more
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Learning objective functions for manipulation
2013 IEEE International Conference on Robotics and Automation, 2013We present an approach to learning objective functions for robotic manipulation based on inverse reinforcement learning. Our path integral inverse reinforcement learning algorithm can deal with high-dimensional continuous state-action spaces, and only requires local optimality of demonstrated trajectories.
Kalakrishnan, M. +3 more
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The Objectivity of Organizational Functions
Acta Biotheoretica, 2019We critique the organizational account of biological functions by showing how its basis in the closure of constraints fails to be objective. While the account treats constraints as objective features of physical systems, the number and relationship of potential constraints are subject to potentially arbitrary redescription by investigators. For example,
Samuel Cusimano, Beckett Sterner
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Objective analysis of finger function
Hand Clinics, 2003Hand motor tasks, even those commonly required by daily life activities, entail complex muscle activation. This article describes a self-contained experimental set-up for the objective kinetic and kinematic analysis of each finger function under several working conditions.
Claudia, Giacomozzi +4 more
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IRH-OF: A New Objective Function for RPL Routing Protocol in IoT Applications
Wireless personal communications, 2021Abdelhadi Eloudrhiri Hassani +2 more
semanticscholar +1 more source
2019
When we say functions are objects in Dart, it may seem confusing if you’re a beginner. Basically, because Dart is an object-oriented language, even functions are objects and have a type called Function.
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When we say functions are objects in Dart, it may seem confusing if you’re a beginner. Basically, because Dart is an object-oriented language, even functions are objects and have a type called Function.
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Subjectively biased objective functions
EURO Journal on Decision Processes, 2016The maximization of an objective function is a cornerstone of OR/MS modeling. How can we integrate subjective values within these models without weakening their scientific objectivity? This paper proposes a methodological answer that maintains the objective function and relaxes the maximization principle.
Marc Le Menestrel, Luk N. Van Wassenhove
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1981
S8 illustrates some of the difficulties inherent with cluster analysis; its aim is to alert investigators to the fact that various algorithms can suggest radically different substructures in the same data set. The balance of Chapter 3 concerns objective functional methods based on fuzzy c-partitions of finite data.
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S8 illustrates some of the difficulties inherent with cluster analysis; its aim is to alert investigators to the fact that various algorithms can suggest radically different substructures in the same data set. The balance of Chapter 3 concerns objective functional methods based on fuzzy c-partitions of finite data.
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Functional Object-Oriented Programming with Object-Gofer
1997Object-Gofer is a small, practical extension of the functional programming language Gofer incorporating the following ideas from the object-oriented community: objects and top level classes, subtype and implementation inheritance, method redefinition, late binding and self type specialization.
Wolfram Schulte, Klaus Achatz
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