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KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 11 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
RECOMB
2005
Springer
14 years 9 months ago
The Factor Graph Network Model for Biological Systems
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
SIGMOD
2001
ACM
124views Database» more  SIGMOD 2001»
14 years 9 months ago
Query Optimization In Compressed Database Systems
Over the last decades, improvements in CPU speed have outpaced improvements in main memory and disk access rates by orders of magnitude, enabling the use of data compression techn...
Zhiyuan Chen, Johannes Gehrke, Flip Korn
CAV
2007
Springer
108views Hardware» more  CAV 2007»
14 years 3 months ago
Systematic Acceleration in Regular Model Checking
Abstract. Regular model checking is a form of symbolic model checking technique for systems whose states can be represented as finite words over a finite alphabet, where regular ...
Bengt Jonsson, Mayank Saksena
CORR
2010
Springer
249views Education» more  CORR 2010»
13 years 9 months ago
Lower Bounds on Near Neighbor Search via Metric Expansion
In this paper we show how the complexity of performing nearest neighbor (NNS) search on a metric space is related to the expansion of the metric space. Given a metric space we loo...
Rina Panigrahy, Kunal Talwar, Udi Wieder