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EDBT
2004
ACM
119views Database» more  EDBT 2004»
16 years 7 months ago
NNH: Improving Performance of Nearest-Neighbor Searches Using Histograms
Efficient search for nearest neighbors (NN) is a fundamental problem arising in a large variety of applications of vast practical interest. In this paper we propose a novel techniq...
Liang Jin, Nick Koudas, Chen Li
ICCBR
2009
Springer
16 years 1 months ago
Using Meta-reasoning to Improve the Performance of Case-Based Planning
Case-based planning (CBP) systems are based on the idea of reusing past successful plans for solving new problems. Previous research has shown the ability of meta-reasoning approac...
Manish Mehta, Santiago Ontañón, Ashw...
CPAIOR
2007
Springer
16 years 1 months ago
YIELDS: A Yet Improved Limited Discrepancy Search for CSPs
Abstract. In this paper, we introduce a Yet ImprovEd Limited Discrepancy Search (YIELDS), a complete algorithm for solving Constraint Satisfaction Problems. As indicated in its nam...
Wafa Karoui, Marie-José Huguet, Pierre Lope...
ICTAI
2006
IEEE
16 years 27 days ago
Improve Decision Trees for Probability-Based Ranking by Lazy Learners
Existing work shows that classic decision trees have inherent deficiencies in obtaining a good probability-based ranking (e.g. AUC). This paper aims to improve the ranking perfor...
Han Liang, Yuhong Yan
ASPDAC
2006
ACM
105views Hardware» more  ASPDAC 2006»
16 years 26 days ago
Speed binning aware design methodology to improve profit under parameter variations
—Designing high-performance systems with high yield under parameter variations has raised serious design challenges in nanometer technologies. In this paper, we propose a profit-...
Animesh Datta, Swarup Bhunia, Jung Hwan Choi, Saib...