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Showing 1801–1850 of 3104 papers

TitleStatusHype
Particle Filtering Methods for Stochastic Optimization with Application to Large-Scale Empirical Risk Minimization—0
Particle Swarm Optimization: Fundamental Study and its Application to Optimization and to Jetty Scheduling Problems—0
Particle Swarm Optimization with Velocity Restriction and Evolutionary Parameters Selection for Scheduling Problem—0
Patchwork: A Unified Framework for RAG Serving—0
Path Planning and Task Assignment for Data Retrieval from Wireless Sensor Nodes Relying on Game-Theoretic Learning—0
PD^3F: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models—0
PDPTW-DB: MILP-Based Offline Route Planning for PDPTW with Driver Breaks—0
PDQN - A Deep Reinforcement Learning Method for Planning with Long Delays: Optimization of Manufacturing Dispatching—0
Performance Analysis and Optimisation of FFR-Aided OFDMA Networks using Channel-Aware Scheduling—0
Application of Monte Carlo Tree Search in Periodic Schedule Design for Networked Control Systems—0
Performance Analysis of Semi-Persistent Scheduling Throughput in 5G NR-V2X: A MAC Perspective—0
Federated Learning with Differential Privacy: Algorithms and Performance Analysis—0
Performance and Energy-Aware Bi-objective Tasks Scheduling for Cloud Data Centers—0
Performance-Aware Control of Modular Batteries For Fast Frequency Response—0
Performance Evaluation of Machine Learning Techniques for DoS Detection in Wireless Sensor Network—0
Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception—0
Performance of UAV assisted Multiuser Terrestrial-Satellite Communication System over Mixed FSO/RF Channels—0
Performance Optimization using Multimodal Modeling and Heterogeneous GNN—0
Performance prediction of data streams on high-performance architecture—0
Personality-Driven Decision-Making in LLM-Based Autonomous Agents—0
Personalized Cancer Chemotherapy Schedule: a numerical comparison of performance and robustness in model-based and model-free scheduling methodologies—0
Personalized Execution Time Optimization for the Scheduled Jobs—0
Personalized Federated Learning via Sequential Layer Expansion in Representation Learning—0
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence—0
Petuum: A New Platform for Distributed Machine Learning on Big Data—0
PGU-SGP: A Pheno-Geno Unified Surrogate Genetic Programming For Real-life Container Terminal Truck Scheduling—0
Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling—0
Physics-Informed Neural Networks for an optimal counterdiabatic quantum computation—0
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures—0
PipeSim: Trace-driven Simulation of Large-Scale AI Operations Platforms—0
PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline—0
PIPO: Pipelined Offloading for Efficient Inference on Consumer Devices—0
PitRSDNet: Predicting Intra-operative Remaining Surgery Duration in Endoscopic Pituitary Surgery—0
Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning—0
PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities—0
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models—0
Planning and Learning: Path-Planning for Autonomous Vehicles, a Review of the Literature—0
Planning and Learning in Risk-Aware Restless Multi-Arm Bandit Problem—0
Planning and Scheduling in Digital Health with Answer Set Programming—0
Planning based on classification by induction graph—0
Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization—0
Planning, Scheduling, and Uncertainty in the Sequence of Future Events—0
Platform-Independent and Curriculum-Oriented Intelligent Assistant for Higher Education—0
PLM-Based Discrete Diffusion Language Models with Entropy-Adaptive Gibbs Sampling—0
P-MOSS: Learned Scheduling For Indexes Over NUMA Servers Using Low-Level Hardware Statistics—0
Policy Gradient Reinforcement Learning for Uncertain Polytopic LPV Systems based on MHE-MPC—0
PolyTOPS: Reconfigurable and Flexible Polyhedral Scheduler—0
PopSGD: Decentralized Stochastic Gradient Descent in the Population Model—0
PORCA: Root Cause Analysis with Partially Observed Data—0
Power Control and Scheduling In Low SNR Region In The Uplink of Two Cell Networks—0
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