Knowledge Tree
Relations (1)
cross_type 2.00 — strongly supporting 3 facts
The concept 'machine learning' is a core thematic component of the 'Special Session on KR and Machine Learning', which explicitly requires submissions to integrate machine learning with knowledge representation [1], [2]. Furthermore, the event's peer-review process specifically involves experts active in the field of machine learning [3].
Facts (3)
Sources
Call for Papers: Special Session on KR and Machine Learning kr.org 3 facts
procedureSubmissions to the Special Session on KR and Machine Learning are peer-reviewed by Program Committee members who are active in both Knowledge Representation and Machine Learning fields.
claimThe Special Session on KR and Machine Learning at KR2022 invites submissions that integrate knowledge representation (KR) and machine learning (ML), specifically focusing on using KR methods to solve ML challenges (such as knowledge-guided or explainable learning), using ML methods to solve KR challenges (such as efficient inference or knowledge base completion), integrating learning and reasoning, and applying combined approaches to real-world problems.
claimThe Special Session on KR and Machine Learning requires submissions to be at the intersection of Knowledge Representation and Machine Learning, meaning submissions focused exclusively on either KR or ML will not be accepted.