intTypePromotion=1
zunia.vn Tuyển sinh 2024 dành cho Gen-Z zunia.vn zunia.vn
ADSENSE

Báo cáo khoa học: "A Maximum Expected Utility Framework for Binary Sequence Labeling"

Chia sẻ: Hongvang_1 Hongvang_1 | Ngày: | Loại File: PDF | Số trang:8

34
lượt xem
1
download
 
  Download Vui lòng tải xuống để xem tài liệu đầy đủ

We consider the problem of predictive inference for probabilistic binary sequence labeling models under F-score as utility. For a simple class of models, we show that the number of hypotheses whose expected Fscore needs to be evaluated is linear in the sequence length and present a framework for efficiently evaluating the expectation of many common loss/utility functions, including the F-score. This framework includes both exact and faster inexact calculation methods.

Chủ đề:
Lưu

Nội dung Text: Báo cáo khoa học: "A Maximum Expected Utility Framework for Binary Sequence Labeling"

ADSENSE

CÓ THỂ BẠN MUỐN DOWNLOAD

 

Đồng bộ tài khoản
2=>2