Search
Search Results
-
A low-rank update for relaxed Schur complement preconditioners in fluid flow problems
The simulation of fluid dynamic problems often involves solving large-scale saddle-point systems. Their numerical solution with iterative solvers...
-
InPlaceKV: in-place update scheme for SSD-based KV storage systems under update-intensive Worklaods
Modern key-value (KV) storage systems adopt append-only writes to update KV pairs with the out-of-place manner, because the performance of sequential...
-
Active Label Correction Using Robust Parameter Update and Entropy Propagation
Label noise is prevalent in real-world visual learning applications and correcting all label mistakes can be prohibitively costly. Training neural...
-
Lightweight Weight Update for Convolutional Neural Networks
Convolutional neural networks are usually composed of convolutional layers and pooling layers. Pooling operations effectively control the weight...
-
Adaptive update handling for graph HTAP
Hybrid transactional/analytical processing (HTAP) workloads on graph data can significantly benefit from GPU accelerators. However, to exploit the...
-
Studying differentiated code to support smart contract update
Smart contracts have received a lot of attention. A smart contract is a program that runs on a blockchain. Some recent studies reveal that most of...
-
Towards Characterizing IoT Software Update Practices
Software updates are critical for ensuring systems remain free of bugs and vulnerabilities while they are in service. While many Internet of Things...
-
Parameter-Free Reduction of the Estimation Bias in Deep Reinforcement Learning for Deterministic Policy Gradients
Approximation of the value functions in value-based deep reinforcement learning induces overestimation bias, resulting in suboptimal policies. We...
-
Parameter Estimation
In this chapter, we introduce some methodologies for parameter estimation on the basis of the MDL principle. Parameter estimation is the most...
-
A faster deep graph clustering network based on dynamic graph weight update mechanism
Deep graph clustering has attracted considerable attention for its potential in handling complex graph-structured data. However, existing approaches...
-
Complexity of limit cycles with block-sequential update schedules in conjunctive networks
In this paper, we deal with the following decision problem: given a conjunctive Boolean network defined by its interaction digraph, does it have a...
-
-
Parameter Setting
Training high-quality topic models depend on appropriate parameter setting. The parameters in topic models fall into two major categories:...
-
A novel marine predators algorithm with adaptive update strategy
The marine predators algorithm (MPA) is a metaheuristic algorithm for solving optimization problems. MPA divides the whole optimization process into...
-
Supporting dynamic update scheme for assured deletion based-multi-copy association tree
Cloud storage services provide storage resources for resource-constrained users, which reduces their local overhead and computing cost. As an...
-
Patchman: Firmware Update Delivery Service Over the Blockchain for IoT Environment
This paper proposes Patchman, a firmware binary delivery service for the Internet of Things ecosystem leveraging blockchain. When a new firmware...
-
Mount and Update
In Chap. 7 , we mainly introduced the basic concepts and overall architecture of the renderer. In this...
-
Low-parameter GAN inversion framework based on hypernetwork
In response to the significant parameter overhead in current Generative Adversarial Networks (GAN) inversion methods when balancing high fidelity and...
-
An ensemble algorithm based on adaptive chaotic quantum-behaved particle swarm optimization with weibull distribution and hunger games search and its financial application in parameter identification
Quantum-behaved Particle Swarm Optimization (QPSO) is a meta-heuristic optimization algorithm, which is widely used in many research fields and...
-
Improved clonal selection algorithm based on the directional update strategy
At present, many cloning selection algorithms have been studied, and improvements have been made to the cloning, mutation and selection steps....
