Travelled to:
1 × Brazil
1 × Canada
1 × China
1 × Ireland
1 × Singapore
1 × United Kingdom
7 × USA
Collaborated with:
∅ C.Chen K.W.Lim S.Mishra T.Patel S.Muggleton P.Nurmi E.Lagerspetz P.Floréen J.Kukkonen N.Ding J.Perkiö H.Tirri B.Fischer T.Pressburger V.Rao Y.W.Teh R.Mehrotra S.Sanner L.Xie G.S.Pedersen A.Ardö M.Cromme M.Taylor P.Peltonen J.J.Oliver T.Roush P.Gazis R.A.Baxter S.R.Waterhouse
Talks about:
model (5) topic (4) product (3) retriev (2) opinion (2) groceri (2) random (2) normal (2) measur (2) depend (2)
Person: Wray L. Buntine
DBLP: Buntine:Wray_L=
Contributed to:
Wrote 15 papers:
- CIKM-2014-LimB #sentiment #topic #twitter
- Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon (KWL, WLB), pp. 1319–1328.
- KDD-2014-BuntineM #modelling #parametricity #topic
- Experiments with non-parametric topic models (WLB, SM), pp. 881–890.
- ICML-c3-2013-ChenRBT #metric #normalisation #random
- Dependent Normalized Random Measures (CC, VR, WLB, YWT), pp. 969–977.
- SIGIR-2013-MehrotraSBX #automation #microblog #modelling #topic #twitter
- Improving LDA topic models for microblogs via tweet pooling and automatic labeling (RM, SS, WLB, LX), pp. 889–892.
- ICML-2012-ChenDB #metric #modelling #normalisation #random #topic
- Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling (CC, ND, WLB), p. 95.
- CIKM-2008-NurmiLBFKP #natural language #retrieval
- Natural language retrieval of grocery products (PN, EL, WLB, PF, JK, PP), pp. 1413–1414.
- SIGIR-2008-NurmiLBFK #retrieval
- Product retrieval for grocery stores (PN, EL, WLB, PF, JK), pp. 781–782.
- ECDL-2006-PedersenACTB #named #semantics
- ALVIS — Superpeer Semantic Search Engine — ECDL 2006 Demo Submission (GSP, AA, MC, MT, WLB), pp. 461–462.
- SIGIR-2005-PerkioBT #adaptation #algorithm #ranking
- A temporally adaptive content-based relevance ranking algorithm (JP, WLB, HT), pp. 647–648.
- KDD-1999-BuntineFP #automation #data mining #mining #source code #synthesis #towards
- Towards Automated Synthesis of Data Mining Programs (WLB, BF, TP), pp. 372–376.
- KDD-1998-OliverRGBBW
- Analysing Rock Samples for the Mars Lander (JJO, TR, PG, WLB, RAB, SRW), pp. 299–303.
- AKDDM-1996-Buntine #modelling #visual notation
- Graphical Models for Discivering Knowledge (WLB), pp. 59–82.
- KDD-1995-BuntineP #how
- Intelligent Instruments: Discovering How to Turn Spectral Data into Information (WLB, TP), pp. 33–38.
- ML-1989-Buntine #classification #learning #using
- Learning Classification Rules Using Bayes (WLB), pp. 94–98.
- ML-1988-MuggletonB #first-order
- Machine Invention of First Order Predicates by Inverting Resolution (SM, WLB), pp. 339–352.