发明名称 DATA PARTITIONING AND CRITICAL SECTION REDUCTION FOR BAYESIAN NETWORK STRUCTURE LEARNING
摘要 <p>In a parallel system, multiple threads operate in parallel to perform network structure learning. A global score cache is partitioned into multiple split score caches, which may in one embodiment include associating a score cache with a node of the structure to be learned. With a split score cache, the learning may be performed in split neighbor scoring loops, with the first loop operating on separate score cache partitions, and warming the score cache partitions for the second loop.</p>
申请公布号 KR20070100779(A) 申请公布日期 2007.10.11
申请号 KR20077017659 申请日期 2004.12.31
申请人 INTEL CORP. 发明人 LAI CHUNRONG;HU WEI
分类号 G06F15/16;G06F9/44 主分类号 G06F15/16
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