Unverified50% confidenceBenchmarkExact time
On 94% of the held-out wrapping graphs and all 16 microcontroller-level models, the optimality certificates confirmed optimality of the ordering in under one second.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
Related Entities
Related Claims
UnverifiedWhen recombining rules seen during training, symbolic descriptions match or even exceed the example approach, reaching 99% versus 95% accuracy on new combinations.67% similarUnverifiedOn the MNIST dataset, even a simple linear classifier can achieve approximately 92% accuracy.66% similarUnverified参数量在1亿以下的轻量模型经领域数据微调后可达95%以上意图分类准确率，单次推理延迟控制在5-20ms以内66% similarUnverifiedOn the UCR time series classification datasets, the sequential combination of SEED-MAX and F-Test can achieve a pruning rate of about 92% (only 8% of the original random features are retained), while the drop in classification accuracy is almost negligible.65% similarUnverifiedIn the demo, approximately 10 out of 11 measures were successfully converted and approved, with only 1 unsupported, resulting in an automation rate of approximately 90%65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1068981API
curl https://kongchang.com/api/v1/knowledge/claims/1068981MCP
get_claim(id=1068981)