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KDD
2004
ACM
154views Data Mining» more  KDD 2004»
16 years 5 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 5 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 9 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
IJCAI
2003
15 years 6 months ago
Improving the Performance of Recommender Systems That Use Critiquing
Personalization actions that tailor the Web experience to a particular user are an integral component of recommender systems. Here, product knowledge - either hand-coded or “mine...
Lorraine McGinty, Barry Smyth
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 6 months ago
Query result clustering for object-level search
Query result clustering has recently attracted a lot of attention to provide users with a succinct overview of relevant results. However, little work has been done on organizing t...
Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong...