Travelled to:1 × France
1 × Germany
1 × Israel
1 × United Kingdom
2 × Canada
3 × USA
Collaborated with:R.Caruana Y.Liu A.C.Lozano W.Gryc C.Bucila A.Kumar K.Kavukcuoglu H.D.III Y.Lu G.Crew A.Ksikes H.Li C.Perlich J.R.M.Hosking N.Abe
Talks about:learn (5) model (4) supervis (3) analysi (2) tempor (2) causal (2) topic (2) empir (2) comparison (1) framework (1)
Person: Alexandru Niculescu-Mizil
DBLP: Niculescu-Mizil:Alexandru
Contributed to:
201220102009
200920062006200520042004Wrote 9 papers:
- ICML-2012-KumarNKD #classification #framework #kernel #learning #multi
- A Binary Classification Framework for Two-Stage Multiple Kernel Learning (AK, ANM, KK, HDI), p. 173.
- ICML-2010-LiuNLL #analysis #graph #learning #relational
- Learning Temporal Causal Graphs for Relational Time-Series Analysis (YL, ANM, ACL, YL), pp. 687–694.
- ICML-2009-LiuNG #community #modelling #topic
- Topic-link LDA: joint models of topic and author community (YL, ANM, WG), pp. 665–672.
- KDD-2009-LozanoLNLPHA #modelling
- Spatial-temporal causal modeling for climate change attribution (ACL, HL, ANM, YL, CP, JRMH, NA), pp. 587–596.
- ICML-2006-CaruanaN #algorithm #comparison #empirical #learning
- An empirical comparison of supervised learning algorithms (RC, ANM), pp. 161–168.
- KDD-2006-BucilaCN
- Model compression (CB, RC, ANM), pp. 535–541.
- ICML-2005-Niculescu-MizilC #learning #predict
- Predicting good probabilities with supervised learning (ANM, RC), pp. 625–632.
- ICML-2004-CaruanaNCK #library #modelling
- Ensemble selection from libraries of models (RC, ANM, GC, AK).
- KDD-2004-CaruanaN #analysis #data mining #empirical #learning #metric #mining #performance
- Data mining in metric space: an empirical analysis of supervised learning performance criteria (RC, ANM), pp. 69–78.