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Heuristic Search

Heuristic Search is a problem-solving method that uses practical rules or "guides" (heuristics) to find solutions more quickly than exhaustive search, by focusing on the most promising paths first.

Papers

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Showing 201–225 of 261 papers

TitleStatusHype
A Neural Architecture Search based Framework for Liquid State Machine Design—0
A Novel Sleep Stage Classification Using CNN Generated by an Efficient Neural Architecture Search with a New Data Processing Trick—0
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection—0
A Polynomial Time Approximation Scheme for a Single Machine Scheduling Problem Using a Hybrid Evolutionary Algorithm—0
Approximating Permutations with Neural Network Components for Travelling Photographer Problem—0
Simulation-Assisted Optimization for Large-Scale Evacuation Planning with Congestion-Dependent Delays—0
Asynchronously Trained Distributed Topographic Maps—0
Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction—0
Automatic Generation of Atomic Consistency Preserving Search Operators for Search-Based Model Engineering—0
Automatic Prompt Optimization via Heuristic Search: A Survey—0
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates—0
Avoiding and Escaping Depressions in Real-Time Heuristic Search—0
Bayesian Decision Trees via Tractable Priors and Probabilistic Context-Free Grammars—0
Beam Search: Faster and Monotonic—0
Best-First Heuristic Search for Multicore Machines—0
Bi-directional Shape Correspondences (BSC): A Novel Technique for 2-d Shape Warping in Quadratic Time?—0
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning—0
Can Large Language Models Play Games? A Case Study of A Self-Play Approach—0
Cascading A*: a Parallel Approach to Approximate Heuristic Search—0
Case-Based Subgoaling in Real-Time Heuristic Search for Video Game Pathfinding—0
ChemoVerse: Manifold traversal of latent spaces for novel molecule discovery—0
COLIN: Planning with Continuous Linear Numeric Change—0
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise—0
Compiler-Level Matrix Multiplication Optimization for Deep Learning—0
Computing Programs for Generalized Planning as Heuristic Search—0
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