Travelled to:
1 × Australia
1 × Canada
1 × Finland
1 × Israel
Collaborated with:
P.Liang M.I.Jordan S.D.Kamvar C.D.Manning H.D.III J.Wolfe A.Haghighi
Talks about:
constraint (2) structur (2) approach (2) cluster (2) level (2) learn (2) interpret (1) exponenti (1) distribut (1) algorithm (1)
Person: Dan Klein
DBLP: Klein:Dan
Contributed to:
Wrote 6 papers:
- ICML-2010-LiangJK #approach #learning #source code
- Learning Programs: A Hierarchical Bayesian Approach (PL, MIJ, DK), pp. 639–646.
- ICML-2009-LiangJK #exponential #learning #metric #product line
- Learning from measurements in exponential families (PL, MIJ, DK), pp. 641–648.
- ICML-2008-LiangDK #compilation
- Structure compilation: trading structure for features (PL, HDI, DK), pp. 592–599.
- ICML-2008-WolfeHK #dataset #distributed #scalability
- Fully distributed EM for very large datasets (JW, AH, DK), pp. 1184–1191.
- ICML-2002-KamvarKM #algorithm #approach #clustering #modelling #using
- Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach (SDK, DK, CDM), pp. 283–290.
- ICML-2002-KleinKM #clustering #constraints #information management
- From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering (DK, SDK, CDM), pp. 307–314.