Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Corrective Training Algorithm for Adaptive Learning in Bag Generation   The sampling problem in training corpus is one of the major sources of errors
in corpus-based applications. This paper proposes a corrective training
algorithm to best-fit the run-time context domain in the application of bag
generation. It shows which objects to be adjusted and how to adjust their
probabilities. The resulting techniques are greatly simplified and the
experimental results demonstrate the promising effects of the training
algorithm from generic domain to specific domain. In general, these techniques
can be easily extended to various language models and corpus-based
applications.

27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph