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Using Feature Weights to Improve Performance of Neural Networks
Feature weight Feature ranking Hybrid Learning Correlation Constraint learning
2015/7/21
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant features using feature ...
期刊信息
篇名
A New Performance Enhancement Algorithm for Space-Time Block Coding in OFDM Systems
语种
英文
撰写或编译
作者
Kai Xu*,Tao Luo,Changchuan Yin,Guangxin Yue
第一作者单位
刊物名称
The Journal of China Universities of ...
Multiple-Threshold Based Scheduling Algorithm for High Performance Input Queued Switches
Scheduling Algorithm High Performance Input Queued Switches
2010/12/14
Input queued switching architectures has become attractive for implementing high performance switches. Some maximal matching algorithms, e.g. PIM, iSLIP, are easily implemented in hardware, hence attr...
Selecting Views with Maintenance Cost Constraints: Issues, Heuristics and Performance
Selecting Views Maintenance Cost Constraints Issues Heuristics Performance
2014/3/12
In order to efficiently support a large number of on-line analytical processing (OLAP)queries, a data warehouse needs to precompute or materialise some of such OLAP queries. One of the important issue...