1,894 Result(s)
within
English
Computer Science
Algorithm Analysis and Problem Complexity
Artificial Intelligence
Computer Communication Networks
**mo Wang
Chapter
-
Chapter and Conference Paper
ACHIM: Adaptive Clinical Latent Hierarchy Construction and Information Fusion Model for Healthcare Knowledge Representation
Utilize electronic health records (EHR) to forecast the likelihood of a patient succumbing under the current clinical condition. This assists healthcare professionals in identifying clinical emergencies prompt...
-
Chapter and Conference Paper
Towards Cost-Efficient Federated Multi-agent RL with Learnable Aggregation
Multi-agent reinforcement learning (MARL) often adopts centralized training with a decentralized execution (CTDE) framework to facilitate cooperation among agents. When it comes to deploying MARL algorithms in...
-
Chapter and Conference Paper
Enhancing Network Role Modeling: Introducing Attributed Multiplex Structural Role Embedding for Complex Networks
Numerous studies have focused on defining node roles within networks, producing network embeddings that maintain the structural role proximity of nodes. Yet, these approaches often fall short when applied to c...
-
Chapter and Conference Paper
Graph Neural Network Approach to Semantic Type Detection in Tables
This study addresses the challenge of detecting semantic column types in relational tables, a key task in many real-world applications. While language models like BERT have improved prediction accuracy, their ...
-
Chapter and Conference Paper
Two Variants of Bézout Subresultants for Several Univariate Polynomials
In this paper, we develop two variants of Bézout subresultant formulas for several polynomials, i.e., hybrid Bézout subresultant polynomial and non-homogeneous Bézout subresultant polynomial. Rather than simpl...
-
Chapter and Conference Paper
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity
The problem of approximating the Pareto front of a multiobjective optimization problem can be reformulated as the problem of finding a set that maximizes the hypervolume indicator. This paper establishes the a...
-
Chapter and Conference Paper
Multi-Asset Market Making via Multi-Task Deep Reinforcement Learning
Market making (MM) is a trading activity by an individual market participant or a member firm of an exchange that buys and sells same securities with the primary goal of profiting on the bid-ask spread, which ...
-
Chapter and Conference Paper
Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem with Lot-Streaming of Random Breakdown
An improved migrating birds optimization (IMBO) algorithm is proposed to solve the hybrid flowshop scheduling problem with lot-streaming of random breakdown (RBHLFS) with the aim of minimizing the total flow t...
-
Chapter and Conference Paper
Computing the Integer Hull of Convex Polyhedral Sets
In this paper, we discuss a new algorithm for computing the integer hull \(P_I\) P ...
-
Chapter and Conference Paper
An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency
Deep Neural Networks (DNNs) need to be both efficient and robust for practical uses. Quantization and structure simplification are promising ways to adapt DNNs to mobile devices, and adversarial training is on...
-
Chapter and Conference Paper
On Tree Equilibria in Max-Distance Network Creation Games
We study the Nash equilibrium and the price of anarchy in the max-distance network creation game. The network creation game, first introduced and studied by Fabrikant et al. [18], is a classic model for real-worl...
-
Chapter and Conference Paper
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion
Joint event and causality extraction is a challenging yet essential task in information retrieval and data mining. Recently, pre-trained language models (e.g., BERT) yield state-of-the-art results and dominate...
-
Chapter and Conference Paper
Label-Free Fluorescence Detection of Carbohydrate Antigen 15-3 via DNA AND Logic Gate Based on Graphene Oxide
In this work, we have developed a DNA AND logic gate based on graphene oxide (GO) absorbing single DNA and G-quadruplex interacting with N-methyl mesoporphyrin IX(NMM) for detecting breast cancer biomarker car...
-
Chapter and Conference Paper
An IoT Ontology Class Recommendation Method Based on Knowledge Graph
Ontology is a formal representation of a domain using a set of concepts of the domain and how these concepts are related. Class is one of the components of an ontology for describing the concepts of the system...
-
Chapter and Conference Paper
Chicken Swarm Optimization Algorithm Based on Hybrid Improvement Strategy
To solve the problem of high dimensional complex optimization, a global Hybrid Improved Chicken Swarm Optimization (HICSO) algorithm is proposed. Firstly, the initial population is constructed by a hybrid chao...
-
Chapter and Conference Paper
A Property-Based Method for Acquiring Commonsense Knowledge
Commonsense knowledge is crucial in a variety of AI applications. However, one kind of commonsense knowledge that has not received attention is that of properties of actions denoted by verbs. To address this l...
-
Chapter and Conference Paper
Hyperchaotic Encryption Algorithm Based on Joseph Traversal and Bit Plane Reconstruction
Image encryption is an effective technology to protect digital image security. This paper designs an image encryption algorithm based on Joseph problem and bit plane reconstruction. The encryption algorithm ad...
-
Chapter and Conference Paper
A Novel Autonomous Molecular Mechanism Based on Spatially Localized DNA Computation
Contemporary DNA synthesis technology matures, and the development provides intriguing possibilities for dynamic manipulation of DNA self-assembly, which plays a pivotal role in the behavior of designing versa...
-
Chapter and Conference Paper
GASKT: A Graph-Based Attentive Knowledge-Search Model for Knowledge Tracing
Knowledge tracking (KT) is a fundamental tool to customize personalized learning paths for students so that they can take charge of their own learning pace. The main task of KT is to model the learning state o...
-
Chapter and Conference Paper
Extracting Prerequisite Relations Among Wikipedia Concepts Using the Clickstream Data
A prerequisite relation describes a basic dependency relation between concepts in education, cognition and other fields. Especially, prerequisite relations among concepts play a very important role in various ...
