BibSLEIGH
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Used together with:
learn (6)
function (3)
gain (3)
reinforc (3)
system (3)

Stem discount$ (all stems)

28 papers:

ECIRECIR-2015-UrbanoM #correlation #definite clause grammar #how #question #user satisfaction
How Do Gain and Discount Functions Affect the Correlation between DCG and User Satisfaction? (JU, MM), pp. 197–202.
LICSLICS-2015-BokerHO #problem
The Target Discounted-Sum Problem (UB, TAH, JO), pp. 750–761.
TACASTACAS-2014-AlmagorBK #ltl
Discounting in LTL (SA, UB, OK), pp. 424–439.
KDDKDD-2014-LeeLTS #modelling #recommendation #scalability
Modeling impression discounting in large-scale recommender systems (PL, LVSL, MT, SS), pp. 1837–1846.
DATEDATE-2013-LishernessLC #analysis #mutation testing
Mutation analysis with coverage discounting (PL, NL, KT(C), pp. 31–34.
LATALATA-2013-AlurKTY #complexity #graph #on the #problem
On the Complexity of Shortest Path Problems on Discounted Cost Graphs (RA, SK, KT, YY), pp. 44–55.
CIAACIAA-2012-Mandrali #ltl
Weighted LTL with Discounting (EM), pp. 353–360.
HCIDUXU-v2-2011-WynnS #data analysis #low cost #video
Motivating Change and Reducing Cost with the Discount Video Data Analysis Technique (JW, JDS), pp. 321–328.
SIGIRSIGIR-2011-ThomasJH #quality #what
What deliberately degrading search quality tells us about discount functions (PT, TJ, DH), pp. 1107–1108.
CSLCSL-2011-BokerH #automaton
Determinizing Discounted-Sum Automata (UB, TAH), pp. 82–96.
CHICHI-2009-DiefenbachH
The “Beauty Dilemma”: beauty is valued but discounted in product choice (SD, MH), pp. 1419–1426.
CIKMCIKM-2009-KanoulasA #empirical
Empirical justification of the gain and discount function for nDCG (EK, JAA), pp. 611–620.
QAPLQAPL-2009-FahrenbergL09a
Discounting in Time (UF, KGL), pp. 25–31.
CASECASE-2008-BandaruN #algorithm #combinator #composition #performance #web #web service
Efficient algorithms for combinatorial auctions with volume discounts arising in web service composition (PB, YN), pp. 995–1000.
ECIRECIR-2008-JarvelinPDN #evaluation #information retrieval #multi
Discounted Cumulated Gain Based Evaluation of Multiple-Query IR Sessions (KJ, SLP, LMLD, MLN), pp. 4–15.
FoSSaCSFoSSaCS-2007-BreugelSW #approximate #behaviour #probability #pseudo
Approximating a Behavioural Pseudometric Without Discount for Probabilistic Systems (FvB, BS, JW), pp. 123–137.
CIAACIAA-2007-DrosteR #automaton #logic
Weighted Automata and Weighted Logics with Discounting (MD, GR), pp. 73–84.
LICSLICS-2007-GimbertZ #markov #multi #process
Limits of Multi-Discounted Markov Decision Processes (HG, WZ), pp. 89–98.
CASECASE-2006-ShrinivasR
Optimal advertisement-innovation mix for maximizing the discounted flow of profit (PS, NRSR), pp. 562–567.
ICALPICALP-v2-2006-GimbertZ #game studies
Deterministic Priority Mean-Payoff Games as Limits of Discounted Games (HG, WZ), pp. 312–323.
TACASTACAS-2004-AlfaroFHMS #model checking
Model Checking Discounted Temporal Properties (LdA, MF, TAH, RM, MS), pp. 77–92.
ICALPICALP-2003-AlfaroHM
Discounting the Future in Systems Theory (LdA, TAH, RM), pp. 1022–1037.
KDDKDD-2000-YamanishiTWM #algorithm #detection #finite #learning #online #using
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms (KY, JiT, GJW, PM), pp. 320–324.
HCIHCI-SEC-1997-SantosB #usability
Discount Usability Engineering (PJS, ANB), pp. 173–176.
ICMLICML-1996-Mahadevan #learning
Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning (SM), pp. 328–336.
ICMLICML-1995-KimuraYK #learning #probability
Reinforcement Learning by Stochastic Hill Climbing on Discounted Reward (HK, MY, SK), pp. 295–303.
RTARTA-1995-AvenhausDF #deduction #distributed #equation #named
DISCOUNT: A SYstem for Distributed Equational Deduction (JA, JD, MF), pp. 397–402.
ICMLICML-1994-Mahadevan #case study #learning
To Discount or Not to Discount in Reinforcement Learning: A Case Study Comparing R Learning and Q Learning (SM), pp. 164–172.

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.