Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the
  Classifier   Recent work suggests improving the performance of Bloom filter by
incorporating a machine learning model as a binary classifier. However, such
learned Bloom filter does not take full advantage of the predicted probability
scores. We proposed new algorithms that generalize the learned Bloom filter by
using the complete spectrum of the scores regions. We proved our algorithms
have lower False Positive Rate (FPR) and memory usage compared with the
existing approaches to learned Bloom filter. We also demonstrated the improved
performance of our algorithms on real-world datasets.

34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
13
The categories of this paper are: quant-ph
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
6
The categories of this paper are: astro-ph