'Computer Science' Category
Speech recognition with weightedfinite-state transducers
http://www.cs.nyu.edu/~mohri/postscript/hbka.pdf
This paper is dealing with speech recognition. We will see that Speech recognition is a very deep process in Natural Language. It ios linked closely to translation.
Let me begin by asking some fairly simple questions.
1) Why is language important for AI?
Suppose I am confronted with “Alice” and I want to discuss say my boating [...]Popularity: 15% [?]
POTW 6/24/07: “Support-Vector Networks” by Cortes and Vapnik
Long paper this week, but it is the original on Support Vector Machines: Support-Vector Networks by Cortes and Vapnik. Given my schedule, I may spread this out over two weeks.
Popularity: 21% [?]Popularity: 21% [?]
POTW 6/11/07: Discussion of “A Sequential Algorithm for Training Text Classifiers” by Lewis and Gale
In “A Sequential Algorithm for Training Text Classifiers” by David D.
Lewis and William Gale, the authors put forth a new (at the time)
method training text classifiers using an approach they call
“uncertainty sampling”
Section 1 outlines the problem of training, namely obtaining a good
sample of text to be labeled for the trainer. After disposing of
several other methods [...]Popularity: 21% [?]
Google’s initiatives in Artificial Intelligence
Introduction
Google’s earnings nearly doubled last year.
http://news.com.com/Google+profit+nearly+doubles/2100-1030_3-6127658.html
Unlike Microsoft that gets its money from shifting boxes Google relies on advertising to pay its way. There is a tremendous incentive to improve the quality of searching. The first reason is obvious. The better Google is perceived to perform as a search engine, the more people will use Google [...]Popularity: 100% [?]
POTW 6/11/07: “A Sequential Algorithm for Training Text Classifiers” by Lewis and Gale
More on text classification: “A Sequential Algorithm for Training Text Classifiers” by David Lewis and William Gale. A little bit of an older paper, but still looks to be a good one.
Popularity: 21% [?]Popularity: 21% [?]
