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» Optimal and Practical Algorithms for Sorting on the PDM
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ICDM
2007
IEEE
99views Data Mining» more  ICDM 2007»
13 years 11 months ago
Optimizing Frequency Queries for Data Mining Applications
Data mining algorithms use various Trie and bitmap-based representations to optimize the support (i.e., frequency) counting performance. In this paper, we compare the memory requi...
Hassan H. Malik, John R. Kender
ALENEX
2009
172views Algorithms» more  ALENEX 2009»
13 years 3 months ago
Rank Aggregation: Together We're Strong
We consider the problem of finding a ranking of a set of elements that is "closest to" a given set of input rankings of the elements; more precisely, we want to find a p...
Frans Schalekamp, Anke van Zuylen
IOR
2007
106views more  IOR 2007»
13 years 5 months ago
Planning and Scheduling by Logic-Based Benders Decomposition
We combine mixed integer linear programming (MILP) and constraint programming (CP) to solve an important class of planning and scheduling problems. Tasks are allocated to faciliti...
John N. Hooker
TCAD
2008
93views more  TCAD 2008»
13 years 5 months ago
Transforming Cyclic Circuits Into Acyclic Equivalents
Abstract--Designers and high-level synthesis tools can introduce unwanted cycles in digital circuits, and for certain combinational functions, cyclic circuits that are stable and d...
Osama Neiroukh, Stephen A. Edwards, Xiaoyu Song
WWW
2008
ACM
14 years 6 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...