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» Optimizing Complex Loss Functions in Structured Prediction
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97
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CIKM
2009
Springer
15 years 4 months ago
A mobile tourist assistance and recommendation system based on complex networks
In recent years, the tourism assistance community is gradually shifting its emphasis to digital, interactive systems. Our project aims for digital tourism assistance by combining ...
Alf-Christian Schering, Martin Dueffer, Andreas Fi...
98
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JMLR
2010
143views more  JMLR 2010»
14 years 8 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
62
Voted
BMCBI
2008
155views more  BMCBI 2008»
14 years 9 months ago
AMMOS: Automated Molecular Mechanics Optimization tool for in silico Screening
Background: Virtual or in silico ligand screening combined with other computational methods is one of the most promising methods to search for new lead compounds, thereby greatly ...
Tania Pencheva, David Lagorce, Ilza Pajeva, Bruno ...
95
Voted
ADHOC
2008
96views more  ADHOC 2008»
14 years 9 months ago
Network configuration for optimal utilization efficiency of wireless sensor networks
This paper addresses the problem of configuring wireless sensor networks (WSNs). Specifically, we seek answers to the following questions: how many sensors should be deployed, wha...
Yunxia Chen, Chen-Nee Chuah, Qing Zhao
82
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GLOBECOM
2008
IEEE
14 years 9 months ago
Power Allocation for Cognitive Radios Based on Primary User Activity in an OFDM System
Efficient and reliable power allocation algorithm in Cognitive radio (CR) networks is a challenging problem. Traditional water-filling algorithm is inefficient for CR networks due ...
Ziaul Hasan, Ekram Hossain, Charles L. Despins, Vi...