违反 发表于 2025-3-23 13:20:11
g behaviors. However, most of existing works focus on devising an effective prediction method based on social network data, and few research studies explore the data characteristic of retweeting behaviors which is typical binary discrete distribution and sparse data. To this end, we propose two novedebble 发表于 2025-3-23 15:33:22
Pier Paolo Saviottites the communication in distributed SGD. One promising technique is using the gradient compression to reduce the communication cost. Recently, many approaches have been developed for the deep neural networks. However, they still suffer from the high memory cost, slow convergence and serious stalene恃强凌弱 发表于 2025-3-23 19:08:05
http://reply.papertrans.cn/47/4668/466705/466705_13.png额外的事 发表于 2025-3-23 23:57:37
Frank Beckenbach,Ramón Briegel,Maria Daskalakisarrives very fast, requires that database systems have to provide efficient solutions to process continuously-arriving queries. However, traditional disk-based DBMSs have a large overhead in maintaining database consistency. This is mainly due to the logging, locking, and latching mechanisms inside金哥占卜者 发表于 2025-3-24 03:45:42
http://reply.papertrans.cn/47/4668/466705/466705_15.png翻布寻找 发表于 2025-3-24 09:49:30
Robin Cowan,Nicolas Jonardarrives very fast, requires that database systems have to provide efficient solutions to process continuously-arriving queries. However, traditional disk-based DBMSs have a large overhead in maintaining database consistency. This is mainly due to the logging, locking, and latching mechanisms insideradiograph 发表于 2025-3-24 10:40:02
http://reply.papertrans.cn/47/4668/466705/466705_17.png倔强一点 发表于 2025-3-24 18:14:04
Jürg Reichardt,Stefan Bornholdteeding. In 2013, China Judgments Online system was launched officially for record keeping and notification, up to now, over 23 million electronic judgment documents are recorded. The huge amount of judgment documents has witnessed the improvement of judicial justice and openness. Document categoriza填料 发表于 2025-3-24 20:59:47
Michael D. König,Stefano Battiston,Frank Schweitzersian network (BN) structure from big datasets is becoming more and more valuable for modeling and reasoning under uncertainties in many areas. Facing big data, most of the current BN structure learning algorithms have limitations. First, learning BNs structure from big datasets is an expensive proce粗鲁性质 发表于 2025-3-24 23:36:35
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