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» Two Techniques to Improve Finite Model Search
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ECAI
2006
Springer
13 years 9 months ago
Calibrating Probability Density Forecasts with Multi-Objective Search
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
Michael Carney, Padraig Cunningham
PODS
2001
ACM
190views Database» more  PODS 2001»
14 years 8 months ago
On the Effects of Dimensionality Reduction on High Dimensional Similarity Search
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
Charu C. Aggarwal
ATAL
2008
Springer
13 years 9 months ago
MB-AIM-FSI: a model based framework for exploiting gradient ascent multiagent learners in strategic interactions
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
Doran Chakraborty, Sandip Sen
PRDC
2007
IEEE
14 years 2 months ago
Improving Dependability Using Shared Supplementary Memory and Opportunistic Micro Rejuvenation in Multi-tasking Embedded Systems
We propose a comprehensive solution to handle memory-overflow problems in multitasking embedded systems thereby improving their reliability and availability. In particular, we pro...
Vinaitheerthan Sundaram, Sandip HomChaudhuri, Sach...
VLSID
2010
IEEE
170views VLSI» more  VLSID 2010»
13 years 1 months ago
Novel Vth Hopping Techniques for Aggressive Runtime Leakage Contro
The continuous increase of leakage power consumption in deep sub-micro technologies necessitates more aggressive leakage control. Runtime leakage control (RTLC) is effective, si...
Hao Xu, Wen-Ben Jone, Ranga Vemuri