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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 7 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
ICSE
1997
IEEE-ACM
15 years 11 months ago
Lackwit: A Program Understanding Tool Based on Type Inference
By determining, statically, where the structure of a program requires sets of variables to share a common tation, we can identify abstract data types, detect ion violations, find ...
Robert O'Callahan, Daniel Jackson
SAS
1993
Springer
139views Formal Methods» more  SAS 1993»
15 years 11 months ago
Compiling FX on the CM-2
Type and effect systems provide a safe and effective means of programming high-performance parallel computers with a high-level language that integrates both functional and impe...
Jean-Pierre Talpin, Pierre Jouvelot
AAAI
2008
15 years 9 months ago
Efficient Querying Relaxed Dominant Relationship between Product Items Based on Rank Aggregation
Current search engines cannot effectively rank those relational data, which exists on dynamic websites supported by online databases. In this study, to rank such structured data, ...
Zhenglu Yang, Lin Li, Masaru Kitsuregawa
SDM
2007
SIAM
167views Data Mining» more  SDM 2007»
15 years 8 months ago
Bandits for Taxonomies: A Model-based Approach
We consider a novel problem of learning an optimal matching, in an online fashion, between two feature spaces that are organized as taxonomies. We formulate this as a multi-armed ...
Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabar...