Travelled to:1 × Spain
6 × USA
Collaborated with:M.Khoshneshin Y.Kim S.Chin K.Lee ∅ F.Menczer O.L.Mangasarian W.H.Wolberg
Talks about:learn (3) evolutionari (2) prognost (2) collabor (2) predict (2) cluster (2) filter (2) unsupervis (1) increment (1) euclidean (1)
Person: W. Nick Street
DBLP: Street:W=_Nick
Contributed to:
2012
2010
200120012000
19981995Wrote 8 papers:
- SIGIR-2012-ChinS #analysis
- Survival analysis of click logs (SCC, WNS), pp. 1149–1150.
- RecSys-2010-KhoshneshinS #collaboration
- Collaborative filtering via euclidean embedding (MK, WNS), pp. 87–94.
- RecSys-2010-KhoshneshinS10a #clustering #collaboration #incremental
- Incremental collaborative filtering via evolutionary co-clustering (MK, WNS), pp. 325–328.
- KDD-2001-StreetK #algorithm #classification #scalability #streaming
- A streaming ensemble algorithm (SEA) for large-scale classification (WNS, YK), pp. 377–382.
- SIGIR-2001-LeeS #clustering #image #learning #retrieval #using
- Intelligent Object-based Image Retrieval Using Cluster-driven Personal Preference Learning (KML, WNS), pp. 436–437.
- KDD-2000-KimSM #feature model #learning #search-based
- Feature selection in unsupervised learning via evolutionary search (YK, WNS, FM), pp. 365–369.
- ICML-1998-Street #network #predict
- A Neural Network Model for Prognostic Prediction (WNS), pp. 540–546.
- ICML-1995-StreetMW #approach #induction #learning #predict
- An Inductive Learning Approach to Prognostic Prediction (WNS, OLM, WHW), pp. 522–530.