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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 2 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang
PODC
2010
ACM
15 years 2 months ago
Transactional predication: high-performance concurrent sets and maps for STM
Concurrent collection classes are widely used in multi-threaded programming, but they provide atomicity only for a fixed set of operations. Software transactional memory (STM) pr...
Nathan Grasso Bronson, Jared Casper, Hassan Chafi,...
DAC
2009
ACM
15 years 2 months ago
RegPlace: a high quality open-source placement framework for structured ASICs
Structured ASICs have recently emerged as an exciting alternative to ASIC or FPGA design style as they provide a new trade-off between the high performance of ASIC design and low ...
Ashutosh Chakraborty, Anurag Kumar, David Z. Pan
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 2 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 2 months ago
Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasit
This paper presents a novel approach for a free structure analog circuit design using Genetic Algorithms (GA). A major problem in a free structure circuit is its sensitivity calcu...
Yaser M. A. Khalifa, Badar K. Khan, Faisal Taha