BibSLEIGH
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Used together with:
climb (11)
search (2)
mutat (2)
random (2)
algorithm (2)

Stem hill$ (all stems)

14 papers:

DACDAC-2013-FattahDLP #agile #manycore
Smart hill climbing for agile dynamic mapping in many-core systems (MF, MD, PL, JP), p. 6.
ITiCSEITiCSE-2011-BlevinsKMMS #game studies
Muddy hill games (JB, AK, EM, EMS, ES), p. 395.
ICPRICPR-2010-RathgebU #performance #recognition
Attacking Iris Recognition: An Efficient Hill-Climbing Technique (CR, AU), pp. 1217–1220.
SACSAC-2010-Kavallieratou #detection #segmentation
Text line detection and segmentation: uneven skew angles and hill-and-dale writing (EK), pp. 59–60.
ISSTAISSTA-2007-HarmanM #empirical #generative #testing
A theoretical & empirical znalysis of evolutionary testing and hill climbing for structural test data generation (MH, PM), pp. 73–83.
SACSAC-2005-ValigianiBJLBC
Experimenting with a real-size man-hill to optimize pedagogical paths (GV, RB, YJ, EL, CBR, PC), pp. 4–8.
ICMLICML-2004-CastilloW #case study #comparative #learning #multi
A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning (LPC, SW).
ICPRICPR-v2-2004-FarmerBJ #feature model #random #scalability #using
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing (MEF, SB, AKJ), pp. 287–290.
ICSMEICSM-2003-MahdaviHH #approach #clustering #multi
A Multiple Hill Climbing Approach to Software Module Clustering (KM, MH, RMH), pp. 315–324.
SIGIRSIGIR-2000-Papadias #algorithm #retrieval
Hill climbing algorithms for content-based retrieval of similar configurations (DP), pp. 240–247.
ICMLICML-1995-KimuraYK #learning #probability
Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward (HK, MY, SK), pp. 295–303.
ICMLICML-1995-Lang95a #problem #search-based #synthesis
Hill Climbing Beats Genetic Search on a Boolean Circuit Synthesis Problem of Koza’s (KJL), pp. 340–343.
ICMLICML-1994-Skalak #algorithm #feature model #prototype #random
Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms (DBS), pp. 293–301.
ICMLML-1988-RoseL #approach
A Hill-Climbing Approach to Machine Discovery (DR, PL), pp. 367–373.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.