Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Recursion-Free Online Multiple Incremental/Decremental Analysis Based on
  Ridge Support Vector Learning   This study presents a rapid multiple incremental and decremental mechanism
based on Weight-Error Curves (WECs) for support-vector analysis. Recursion-free
computation is proposed for predicting the Lagrangian multipliers of new
samples. This study examines Ridge Support Vector Models, subsequently devising
a recursion-free function derived from WECs. With the proposed function, all
the new Lagrangian multipliers can be computed at once without using any
gradual step sizes. Moreover, such a function relaxes a constraint, where the
increment of new multiple Lagrangian multipliers should be the same in the
previous work, thereby easily satisfying the requirement of KKT conditions. The
proposed mechanism no longer requires typical bookkeeping strategies, which
compute the step size by checking all the training samples in each incremental
round.

24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
20
The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat