dowagers-hump
发表于 2025-3-23 12:46:31
Co-model Structuring and Design Patternsworks or are derived from textbooks or engine benchmarks. . contains 2,500 samples of relational schema found in public code repositories which have been standardised to . syntax. We provide our gathering and transformation methodology, summary statistics, structural analysis, and discuss potential downstream research tasks in several domains.
错
发表于 2025-3-23 17:55:30
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canvass
发表于 2025-3-23 20:13:43
Decomposition of Service Level Encoding for Anomaly Detectionessing this complexity. Cluster definitions of Modal, Specialised and Aberrant are introduced as a descriptive framework on which to interpret said feature decomposition and to aid threshold setting. This strategy furthers the work introduced in [.] as refinement to an existing anomaly detection scheme.
canonical
发表于 2025-3-23 22:48:51
: A Dataset for Structures in Relational Dataworks or are derived from textbooks or engine benchmarks. . contains 2,500 samples of relational schema found in public code repositories which have been standardised to . syntax. We provide our gathering and transformation methodology, summary statistics, structural analysis, and discuss potential downstream research tasks in several domains.
排斥
发表于 2025-3-24 05:58:25
Improving Ads-Profitability Using Traffic-Fingerprints
Resistance
发表于 2025-3-24 09:09:43
Laurence A. F. Park,Heitor Murilo Gomes,Simeon Sim
BRAND
发表于 2025-3-24 13:00:03
A Temperature-Modified Dynamic Embedded Topic Modelal Debate Corpus, and the ACL Title and Abstract dataset show that the proposed model – nicknamed DETM-tau after the temperature parameter – has been able to improve the model’s perplexity and topic coherence for all datasets.
Folklore
发表于 2025-3-24 17:37:59
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杠杆支点
发表于 2025-3-24 20:39:36
Graph Embeddings for Non-IID Data Feature Representation Learningrepresentation is based on traffic speed, volume, and speed limit; the second representation is the graph embeddings learned from the traffic knowledge graph. Our experimental results show that the road network information captured in the knowledge graphs is crucial for predicting traffic risk level
ostrish
发表于 2025-3-25 00:02:34
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