Learning to Analyze Sequences
3,100 views · Published 9 October 2007 · 1:22:26 · Indexed 25 October 2026
Channel: Google TechTalks · 2007 · Howto & Style
Google Tech Talks April 12, 2007 ABSTRACT Sequential data --- speech, text, genomic sequences --- floods our storage servers. Much useful information in these data is carried by implicit structure: phonemes and prosody in speech, syntactic structure in text, genes and regulatory elements in genomic sequences. Over the last six years, several of us have been investigating structured linear models, a unified discriminative learning approach to sequence analysis problems. I will review the approach and illustrate it with applications to information extraction and gene finding. I will conclude with a summary of other applications and current research questions. Credits: Speaker:Fernando Pereira
More from this channel
-
34:17
Thinglink - A Free Product Code for Creative Work
-
32:48
Thinking Beyond Borders
-
44:29
Understanding Urban Environments Through the Use of...
-
46:05
Customer Centric Web Decision Making
-
46:04
Customizable Scalable Compute Intensive Stream Queries
-
51:26
All The Government's Information
-
41:35
Combining Discriminative Features to Infer Complex...
-
59:42
Dimensions of Reputation in Electronic Markets