BibSLEIGH
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Used together with:
event (8)
sequenc (6)
algorithm (4)
frequent (4)
learn (4)

Stem episod$ (all stems)

23 papers:

HCISCSM-2014-KhalidD #experience #legacy #social #social media
Extended Episodic Experience in Social Mediating Technology: Our Legacy (HK, AJD), pp. 452–461.
CIKMCIKM-2014-OchiaiKT #case study
Re-call and Re-cognition in Episode Re-retrieval: A User Study on News Re-finding a Fortnight Later (SO, MPK, KT), pp. 579–588.
KDIRKDIR-2014-FahedBB #algorithm #mining #predict
Episode Rules Mining Algorithm for Distant Event Prediction (LF, AB, AB), pp. 5–13.
HCIHCI-AS-2013-TakanoS #learning
Nature Sound Ensemble Learning in Narrative-Episode Creation with Pictures (KT, SS), pp. 493–502.
HCIHCI-IMT-2013-RabeW #interactive #memory management
Enhancing Human Computer Interaction with Episodic Memory in a Virtual Guide (FR, IW), pp. 117–125.
KDDKDD-2013-WuLYT #mining #sequence
Mining high utility episodes in complex event sequences (CWW, YFL, PSY, VST), pp. 536–544.
KDDKDD-2012-TattiV #sequence
The long and the short of it: summarising event sequences with serial episodes (NT, JV), pp. 462–470.
KDIRKDIR-2012-QuirogaMH #sequence
Frequent and Significant Episodes in Sequences of Events — Computation of a New Frequency Measure based on Individual Occurrences of the Events (OQ, JM, SH), pp. 324–328.
KDDKDD-2011-TattiC #mining
Mining closed episodes with simultaneous events (NT, BC), pp. 1172–1180.
KEODKEOD-2011-StratosSG #logic #reasoning
Episodic Logic: Natural Logic + Reasoning (KS, LKS, JG), pp. 304–310.
CASECASE-2009-BountourelisR #algorithm #learning
Customized learning algorithms for episodic tasks with acyclic state spaces (TB, SR), pp. 627–634.
KDDKDD-2008-LaxmanTW #generative #modelling #predict #sequence #using
Stream prediction using a generative model based on frequent episodes in event sequences (SL, VT, RWW), pp. 453–461.
KDDKDD-2007-LaxmanSU #algorithm #performance
A fast algorithm for finding frequent episodes in event streams (SL, PSS, KPU), pp. 410–419.
CASECASE-2006-ReveliotisB #algorithm #learning #performance
Efficient learning algorithms for episodic tasks with acyclic state spaces (SR, TB), pp. 411–418.
ECIRECIR-2006-ChenOT #image #memory management #using
Browsing Personal Images Using Episodic Memory (Time + Location) (CC, MPO, JT), pp. 362–372.
SACSAC-2006-SrinivasanBC #sequence
Discovery of interesting episodes in sequence data (AS, DB, SC), pp. 598–602.
ASEASE-2004-YuLB #case study #modelling #refactoring
Refactoring Use Case Models on Episodes (WY, JL, GB), pp. 328–331.
TOOLSTOOLS-PACIFIC-2000-Taylor00a #design
Dynamic Team Structures for Supporting Software Design Episodes (PRT), pp. 290–303.
KDDKDD-1996-MannilaT #using
Discovering Generalized Episodes Using Minimal Occurrences (HM, HT), pp. 146–151.
KDDKDD-1995-MannilaTV #sequence
Discovering Frequent Episodes in Sequences (HM, HT, AIV), pp. 210–215.
ICMLML-1992-RubyK #learning #optimisation
Learning Episodes for Optimization (DR, DFK), pp. 379–384.
SOSPSOSP-WIP-1991-Young92 #lazy evaluation #metadata #named #transaction
Episode: Lazy Transactions for Filesystem Meta-Data Updates (Abstract) (MWY), p. 20.
KRKR-1989-SchubertH #information management #representation
An Episodic Knowledge Representation for Narrative Texts (LKS, CHH), pp. 444–458.

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.