Results 91 to 100 of about 1,909,109 (209)
Submodular Optimization and Machine Learning: Theoretical Results, Unifying and Scalable Algorithms, and Applications [PDF]
Thesis (Ph.D.)--University of Washington, 2015In this dissertation, we explore a class of unifying and scalable algorithms for a number of submodular optimization problems, and connect them to several machine learning applications.
Iyer, Rishabh Krishnan
core
ABSTRACT This paper presents a two‐level hierarchical adaptive damping control strategy designed to robustly mitigate inter‐area low‐frequency oscillations (LFOs) in large‐scale power systems featuring high shares of doubly‐fed induction generator (DFIG) wind farms. The proposed structure integrates a central wide‐area damping controller (WADC), driven
Mohsen Darabian +4 more
wiley +1 more source
Submodular functions are discrete functions that model laws of diminishing returns and enjoy numerous algorithmic applications that have been used in many areas, including combinatorial optimization, machine learning, and economics. In this work we use a
Nicholas J.A. Harvey +2 more
core +1 more source
The strategic placement and sizing of electric vehicle (EV) charging stations on highways are critical for alleviating range anxiety and fostering widespread EV adoption. This paper presents a novel mixed‐integer linear programming (MILP) model for optimizing the location and capacity of charging stations along highway corridors.
Raka Jovanovic +3 more
wiley +1 more source
On the Supremum of Singleton Ratios in Submodular Functions
Let N be a finite set of cardinality n, and let a∈N. A submodular function f on N with f(a)=1 is defined to be a-reduced if, for any decomposition f=g+h into submodular functions, where h does not depend on a, it follows that h is identically zero.
Laszlo Csirmaz
doaj +1 more source
Reconfigurable intelligent surfaces (RISs) have emerged as a compelling technology for next‐generation wireless networks, enabling programmable control of electromagnetic wave propagation to improve coverage, spectral efficiency, and energy efficiency.
S. M. Tanvir Hasan +5 more
wiley +1 more source
Robust team assignment and scheduling for scalable digital art collaboration [PDF]
Collaborative digital content creation in multi-stage artistic workflows requires effective coordination among heterogeneous creators and shared computational resources. However, many existing approaches overlook key constraints, such as cross-stage team
Di Wu, Yong Li
doaj +2 more sources
On Some Algorithmic and Structural Results on Flames
ABSTRACT A directed graph F with a root node r is called a flame if for every vertex v other than r the local edge‐connectivity value λ F ( r , v ) from r to v is equal to ϱ F ( v ), the in‐degree of v. It is a classic, simple and beautiful result of Lovász [4] that every digraph D with a root node r has a spanning subgraph F that is a flame and the λ (
Dávid Szeszlér
wiley +1 more source
Recognizing Human Action based on the improved String of Feature Graphs method
:the effective representation of the video is the key and difficulty in human action recognition. In this paper, we proposed an improved string of feature graphs method to describe an video, which combines submodular optimization method and graphic ...
Su Liang Liang +3 more
doaj
Differentially Private Online Submodular Optimization
In this paper we develop the first algorithms for online submodular minimization that preserve differential privacy under full information feedback and bandit feedback. A sequence of $T$ submodular functions over a collection of $n$ elements arrive online, and at each timestep the algorithm must choose a subset of $[n]$ before seeing the function.
Adrian Rivera Cardoso, Rachel Cummings
openaire +3 more sources

