gruelling 发表于 2025-3-30 11:22:03
Features for Learning Local Patterns in Time-Stamped Data,e aspect of state change and its representation for learning local patterns in time-stamped data. Besides a simple Boolean representation indicating a change, we use frequency features from information retrieval. We transfer Joachim’s theory for text classification to our task and investigate its fiGerontology 发表于 2025-3-30 15:58:17
http://reply.papertrans.cn/59/5877/587692/587692_52.png售穴 发表于 2025-3-30 18:45:12
Knowledge-Based Sampling for Subgroup Discovery,ledge-based sampling approach to iterative model refinement is presented. It is a general, cheap way of incorporating prior probabilistic knowledge in arbitrary form into Data Mining algorithms addressing supervised learning tasks.