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MTDT
2003
IEEE
105views Hardware» more  MTDT 2003»
15 years 12 months ago
A Testability-Driven Optimizer and Wrapper Generator for Embedded Memories
Memory cores (especially SRAM cores) used on a system chip usually come from a memory compiler. Commercial memory compilers have their limitation— a large memory may need to be ...
Rei-Fu Huang, Li-Ming Denq, Cheng-Wen Wu, Jin-Fu L...
ACMICEC
2007
ACM
245views ECommerce» more  ACMICEC 2007»
15 years 10 months ago
Keyword generation for search engine advertising using semantic similarity between terms
An important problem in search engine advertising is keyword1 generation. In the past, advertisers have preferred to bid for keywords that tend to have high search volumes and hen...
Vibhanshu Abhishek, Kartik Hosanagar
ICML
2010
IEEE
15 years 7 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
AI
2006
Springer
15 years 6 months ago
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Ole J. Mengshoel, David C. Wilkins, Dan Roth
JMLR
2010
129views more  JMLR 2010»
15 years 1 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert