Search
Search Results
-
On the Problem of Maximizing the Probability of Successful Passing of a Time-Limited Test
AbstractThe problem of finding the optimal sequence of performing a set of tasks in a time-limited test is considered. That is, a task group is...
-
Sensory perception relies on fitness-maximizing codes
Sensory information encoded by humans and other organisms is generally presumed to be as accurate as their biological limitations allow. However,...
-
Maximizing conditional independence for unsupervised domain adaptation
Unsupervised domain adaptation (UDA) studies how to transfer a learner from a labeled source domain to an unlabeled target domain with different...
-
Function Synthesis for Maximizing Model Counting
Given a boolean formula \(\phi (X, Y, Z)\) , the...
-
Maximizing adjusted covariance: new supervised dimension reduction for classification
This study proposes a new linear dimension reduction technique called Maximizing Adjusted Covariance (MAC), which is suitable for supervised...
-
Extension of Probability-Based Multi-objective Optimization in Condition of the Utility with Desirable Value
It represents the extension of probability-based multi-objective optimization in condition of the utility with desirable value, which includes the...
-
On maximizing probabilities for over-performing a target for Markov decision processes
This paper studies the dual relation between risk-sensitive control and large deviation control of maximizing the probability for out-performing a...
-
D2PG: deep deterministic policy gradient based for maximizing network throughput in clustered EH-WSN
Wireless sensor networks are considered one of the effective technologies in various applications, responsible for monitoring and sensing. In these...
-
Maximizing the number of completed tasks in MEC considering time and energy constraints
Many tasks generated by mobile user devices are computation-intensive and latency-sensitive, such as autonomous driving and video analysis. However,...
-
Neuroanatomical substrates of maximizing tendency in decision-making: a voxel-based morphometric study
Maximizing tendency is a central decision-making concept that has increasingly drawn attention from the scientific community. It refers to...
-
On Maximizing Sums of Non-monotone Submodular and Linear Functions
We study the problem of
Regularized Unconstrained Submodular Maximization (RegularizedUSM ) as defined by Bodek and Feldman (Maximizing sums of...
-
Maximizing the lender’s profit: profit-oriented loan default prediction based on a weighting model
Loan default risk prediction is necessary in credit risk assessment, as it helps financing institutions and investors make decisions. However,...
-
An energy-efficient scheme for maximizing data aggregation tree lifetime in wireless sensor network
In Wireless Sensor Networks (WSNs), the increasing network lifetime is an essential requirement. Energy consumption mainly takes place in data...
-
Path probability selection in nature and path integral
Understanding of any biological evolutions, such as speciation, adaptation behavior and biodiversity pattern, is based on a fundamental concept of...
-
Principle of Maximizing of Expected Return
The maximization of expected return is the basic principle of trading economics, the basic rule for trading agents to make decisions, and the basis...
-
Maximizing Diversity and Persuasiveness of Opinion Articles in Social Networks
The formation and evolution of opinions in social networks is a complex process affected by the interplay of different elements that incorporate peer...
-
Extension of Probability-Based Multi-objective Optimization in Condition of the Utility with Desirable Value
It represents the extension of probability-based multi-objective optimization in condition of the utility with desirable value, which includes the...
-
On streaming algorithms for maximizing a supermodular function plus a MDR-submodular function on the integer lattice
In this paper, we provide a streaming algorithm for the problem of maximizing the sum of a supermodular function and a nonnegative monotone...
-
Modeling eye movement in dynamic interactive tasks for maximizing situation awareness based on Markov decision process
For complex dynamic interactive tasks (such as aviating), operators need to continuously extract information from areas of interest (AOIs) through...
