BibSLEIGH corpus
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Open Knowledge
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Travelled to:
1 × Australia
1 × Germany
1 × Slovenia
1 × United Kingdom
13 × USA
Collaborated with:
W.Iba J.A.Allen K.Thompson N.Nejati T.Könik L.Todorovski D.G.Shapiro M.Schwabacher S.Sage G.H.John K.Pfleger B.Nordhausen D.Rose N.Asgharbeygi D.J.Stracuzzi M.T.Gervasio S.Rogers C.Wilson S.Handley F.A.Rauscher J.Wogulis Nishant Trivedi Matt Banister W.Bridewell N.B.Asadi D.George S.D.Bay K.Saito J.N.Sánchez S.Dzeroski A.Kalton K.Wagstaff J.P.Yoo Dongkyu Choi Chunki Park
Talks about:
learn (9) data (6) knowledg (4) concept (4) induct (4) model (4) process (3) use (3) increment (2) discoveri (2)

Person: Pat Langley

DBLP DBLP: Langley:Pat

Facilitated 1 volumes:

ICML 2000Ed

Contributed to:

ICML 20062006
ICML 20052005
ICML 20032003
ICML 20022002
ICML 20012001
KDD 20012001
ICML 20002000
ICML 19991999
KDD 19991999
KDD 19981998
KDD 19961996
ICML 19951995
ML 19921992
ML 19911991
ML 19901990
ML 19891989
ML 19881988
AIIDE 20072007
AIIDE 20102010

Wrote 27 papers:

ICML-2006-AsgharbeygiSL #difference #learning #relational
Relational temporal difference learning (NA, DJS, PL), pp. 49–56.
ICML-2006-NejatiLK #learning #network
Learning hierarchical task networks by observation (NN, PL, TK), pp. 665–672.
ICML-2005-BridewellALT #induction #process
Reducing overfitting in process model induction (WB, NBA, PL, LT), pp. 81–88.
ICML-2003-LangleyGBS #induction #modelling #process #robust
Robust Induction of Process Models from Time-Series Data (PL, DG, SDB, KS), pp. 432–439.
ICML-2002-LangleySTD #modelling #process
Inducing Process Models from Continuous Data (PL, JNS, LT, SD), pp. 347–354.
ICML-2002-ShapiroL #learning #using
Separating Skills from Preference: Using Learning to Program by Reward (DGS, PL), pp. 570–577.
Discovering Communicable Scientific Knowledge from Spatio-Temporal Data (MS, PL), pp. 489–496.
KDD-2001-KaltonLWY #clustering #learning
Generalized clustering, supervised learning, and data assignment (AK, PL, KW, JPY), pp. 299–304.
ICML-2000-Langley #machine learning
Crafting Papers on Machine Learning (PL), pp. 1207–1216.
ICML-1999-GervasioIL #adaptation #evaluation #learning #scheduling
Learning User Evaluation Functions for Adaptive Scheduling Assistance (MTG, WI, PL), pp. 152–161.
ICML-1999-LangleyS #analysis #classification #naive bayes
Tractable Average-Case Analysis of Naive Bayesian Classifiers (PL, SS), pp. 220–228.
KDD-1999-RogersLW #mining #modelling
Mining GPS Data to Augment Road Models (SR, PL, CW), pp. 104–113.
KDD-1998-HandleyLR #learning #predict
Learning to Predict the Duration of an Automobile Trip (SH, PL, FAR), pp. 219–223.
KDD-1996-JohnL #data mining #mining
Static Versus Dynamic Sampling for Data Mining (GHJ, PL), pp. 367–370.
KDD-1996-Langley #induction
Induction of Condensed Determinations (PL), pp. 327–330.
Case-Based Acquisition of Place Knowledge (PL, KP), pp. 344–352.
ML-1992-IbaL #induction
Induction of One-Level Decision Trees (WI, PL), pp. 233–240.
The Acquisition of Human Planning Expertise (PL, JAA), pp. 80–84.
ML-1991-ThompsonLI #concept #using
Using Background Knowledge in Concept Formation (KT, PL, WI), pp. 554–558.
ML-1990-NordhausenL #approach #robust
A Robust Approach to Numeric Discovery (BN, PL), pp. 411–418.
ML-1989-AllenL #concept #using
Using Concept Hierarchies to Organize Plan Knowledge (JAA, PL), pp. 229–231.
ML-1989-Langley #empirical #learning
Unifying Themes in Empirical and Explanation-Based Learning (PL), pp. 2–4.
ML-1989-ThompsonL #concept #incremental
Incremental Concept Formation with Composite Objects (KT, PL), pp. 371–374.
ML-1988-IbaWL #concept #incremental #learning
Trading Off Simplicity and Coverage in Incremental concept Learning (WI, JW, PL), pp. 73–79.
ML-1988-RoseL #approach
A Hill-Climbing Approach to Machine Discovery (DR, PL), pp. 367–373.
AIIDE-2007-ChoiKNPL #game studies
A Believable Agent for First-Person Shooter Games (DC, TK, NN, CP, PL), pp. 71–73.
A Command Language for Taskable Virtual Agents (PL, NT, MB).

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.