谄媚于性 发表于 2025-3-28 16:06:50
Automatic Conjecturing of P-Recursions Using Lifted Inference,mated fashion, by casting them as first-order model counting problems. Algorithms for this problem typically output a single number, which is the number of models of the first-order logic sentence in question on a given domain. However, in the combinatorics setting, we are more interested in obtainioctogenarian 发表于 2025-3-28 22:34:52
Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compressioncrobiota. Many statistical approaches have been proposed to infer these interactions from microbial abundance information. However, these statistical approaches have no general mechanisms for incorporating existing ecological knowledge in the inference process. We propose an Abductive/Inductive Loginonplus 发表于 2025-3-29 02:51:56
http://reply.papertrans.cn/47/4640/463909/463909_43.png制定法律 发表于 2025-3-29 03:48:18
Synthetic Datasets and Evaluation Tools for Inductive Neural Reasoning,e induction process. However, we argue that existing datasets and evaluation approaches are lacking in various dimensions; for example, different kinds of rules or dependencies between rules are neglected. Moreover, for the development of neural approaches, we need large amounts of data to learn frodebris 发表于 2025-3-29 08:57:52
http://reply.papertrans.cn/47/4640/463909/463909_45.pngAllege 发表于 2025-3-29 13:28:14
http://reply.papertrans.cn/47/4640/463909/463909_46.pngcardiac-arrest 发表于 2025-3-29 16:58:25
http://reply.papertrans.cn/47/4640/463909/463909_47.png观察 发表于 2025-3-29 19:50:12
http://reply.papertrans.cn/47/4640/463909/463909_48.png遗传学 发表于 2025-3-30 00:54:39
http://reply.papertrans.cn/47/4640/463909/463909_49.pngFEMUR 发表于 2025-3-30 07:09:32
Programmatic Policy Extraction by Iterative Local Search,interpretable, amenable to formal verification, or generalize better. While efficient algorithms for learning neural policies exist, learning programmatic policies is challenging. Combining imitation-projection and dataset aggregation with a local search heuristic, we present a simple and direct app