Travelled to:
1 × Finland
1 × Germany
1 × United Kingdom
9 × USA
Collaborated with:
A.Popescul D.P.Foster A.Kehlenbeck S.Goorha L.Sarmento E.C.Oliveira D.M.Pennock G.Z.Grudic M.Salganicoff B.Rosenfeld R.Feldman A.McCallum K.Nigam D.Schuurmans P.S.Dhillon J.Rodu C.Whitelaw N.Petrovic J.Zhou R.A.Stine D.Pavlov A.I.Schein G.W.Flake S.Lawrence C.L.Giles
Talks about:
cluster (4) web (4) use (4) model (3) select (2) method (2) entiti (2) effici (2) trend (2) scale (2)
Person: Lyle H. Ungar
DBLP: Ungar:Lyle_H=
Facilitated 1 volumes:
Contributed to:
Wrote 15 papers:
- ICML-2012-DhillonRFU #modelling #using #word
- Using CCA to improve CCA: A new spectral method for estimating vector models of words (PSD, JR, DPF, LHU), p. 13.
- KDD-2010-GoorhaU #roadmap
- Discovery of significant emerging trends (SG, LHU), pp. 57–64.
- MLDM-2009-SarmentoKOU #clustering #performance #set
- Efficient Clustering of Web-Derived Data Sets (LS, AK, ECO, LHU), pp. 398–412.
- MLDM-2009-SarmentoKOU09a #ambiguity #approach
- An Approach to Web-Scale Named-Entity Disambiguation (LS, AK, ECO, LHU), pp. 689–703.
- CIKM-2008-RosenfeldFU #classification #sequence #using #web
- Using sequence classification for filtering web pages (BR, RF, LHU), pp. 1355–1356.
- CIKM-2008-WhitelawKPU #recognition
- Web-scale named entity recognition (CW, AK, NP, LHU), pp. 123–132.
- KDD-2005-ZhouFSU #feature model #streaming #using
- Streaming feature selection using alpha-investing (JZ, DPF, RAS, LHU), pp. 384–393.
- KDD-2004-PopesculU #clustering #concept #learning #relational #statistics
- Cluster-based concept invention for statistical relational learning (AP, LHU), pp. 665–670.
- ICML-2003-PavlovPPU #modelling
- Mixtures of Conditional Maximum Entropy Models (DP, AP, DMP, LHU), pp. 584–591.
- SIGIR-2002-ScheinPUP #metric #recommendation
- Methods and metrics for cold-start recommendations (AIS, AP, LHU, DMP), pp. 253–260.
- ICML-2000-GrudicU #policy
- Localizing Policy Gradient Estimates to Action Transition (GZG, LHU), pp. 343–350.
- KDD-2000-McCallumNU #clustering #performance #set
- Efficient clustering of high-dimensional data sets with application to reference matching (AM, KN, LHU), pp. 169–178.
- ICML-1997-SchuurmansUF #performance
- Characterizing the generalization performance of model selection strategies (DS, LHU, DPF), pp. 340–348.
- ICML-1995-SalganicoffU #learning #multi #using
- Active Exploration and Learning in real-Valued Spaces using Multi-Armed Bandit Allocation Indices (MS, LHU), pp. 480–487.
- ADL-2000-PopesculFLUG #clustering #database #documentation #identification #roadmap
- Clustering and Identifying Temporal Trends in Document Databases (AP, GWF, SL, LHU, CLG), pp. 173–182.