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WAE
2000
103views Algorithms» more  WAE 2000»
15 years 8 months ago
Lattice Basis Reduction with Dynamic Approximation
Abstract. In this paper we present a heuristic based on dynamic approximations for improving the well-known Schnorr-Euchner lattice basis reduction algorithm. In particular, the ne...
Werner Backes, Susanne Wetzel
207
Voted
NIPS
2008
15 years 8 months ago
From Online to Batch Learning with Cutoff-Averaging
We present cutoff averaging, a technique for converting any conservative online learning algorithm into a batch learning algorithm. Most online-to-batch conversion techniques work...
Ofer Dekel
KDD
2004
ACM
138views Data Mining» more  KDD 2004»
16 years 7 months ago
IDR/QR: an incremental dimension reduction algorithm via QR decomposition
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...
Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Ja...
TSMC
2010
15 years 1 months ago
Multiobjective Optimization of Temporal Processes
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
Zhe Song, Andrew Kusiak
VLDB
2007
ACM
155views Database» more  VLDB 2007»
16 years 1 months ago
Best Position Algorithms for Top-k Queries
The general problem of answering top-k queries can be modeled using lists of data items sorted by their local scores. The most efficient algorithm proposed so far for answering to...
Reza Akbarinia, Esther Pacitti, Patrick Valduriez