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» Function Optimization with Coevolutionary Algorithms
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ICASSP
2011
IEEE
14 years 10 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
COMPSAC
2011
IEEE
14 years 6 months ago
L1 - An Intermediate Language for Mixed-Protocol Secure Computation
—Secure Computation (SC) enables secure distributed computation of arbitrary functions of private inputs. It has many useful applications, e.g. benchmarking or auctions. Several ...
Axel Schröpfer, Florian Kerschbaum, Guenter M...
ICASSP
2008
IEEE
16 years 28 days ago
Utility-based power control for peer-to-peer cognitive radio networks with heterogeneous QoS constraints
Transmit-power control is a critical task in cognitive radio (CR) networks. In the present contribution, adherence to hierarchies between primary and secondary users in a peer-to-...
Nikolaos Gatsis, Antonio G. Marqués, Georgi...
SECON
2008
IEEE
16 years 26 days ago
Breath: A Self-Adapting Protocol for Wireless Sensor Networks in Control and Automation
—The novel cross-layer protocol Breath for wireless sensor networks is designed, implemented, and experimentally evaluated. The Breath protocol is based on randomized routing, MA...
Pan Gun Park, Carlo Fischione, Alvise Bonivento, K...
IPPS
2006
IEEE
16 years 15 days ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...