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» Algorithmics in Exponential Time
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139
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KDD
2004
ACM
181views Data Mining» more  KDD 2004»
16 years 3 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
125
Voted
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
16 years 3 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
142
Voted
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 3 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
124
Voted
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
16 years 3 months ago
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
When automatically extracting information from the world wide web, most established methods focus on spotting single HTMLdocuments. However, the problem of spotting complete web s...
Martin Ester, Hans-Peter Kriegel, Matthias Schuber...
HPCA
2001
IEEE
16 years 3 months ago
CARS: A New Code Generation Framework for Clustered ILP Processors
Clustered ILP processors are characterized by a large number of non-centralized on-chip resources grouped into clusters. Traditional code generation schemes for these processors c...
Krishnan Kailas, Kemal Ebcioglu, Ashok K. Agrawala
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