Sciweavers

2681 search results - page 305 / 537
» Learning to learn with the informative vector machine
Sort
View
AAAI
2010
15 years 8 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
SIGECOM
1999
ACM
136views ECommerce» more  SIGECOM 1999»
15 years 11 months ago
Automated strategy searches in an electronic goods market: learning and complex price schedules
Markets for electronic goods provide the possibility of exploring new and more complex pricing schemes, due to the flexibility of information goods and negligible marginal cost. I...
Christopher H. Brooks, Scott A. Fay, Rajarshi Das,...
ICASSP
2009
IEEE
16 years 1 months ago
A semi-supervised learning approach to online audio background detection
We present a framework for audio background modeling of complex and unstructured audio environments. The determination of background audio is important for understanding and predi...
Selina Chu, Shrikanth S. Narayanan, C.-C. Jay Kuo
161
Voted
WEBI
2009
Springer
16 years 1 months ago
Learning Deep Web Crawling with Diverse Features
—The key to Deep Web crawling is to submit promising keywords to query form and retrieve Deep Web content efficiently. To select keywords, existing methods make a decision based ...
Lu Jiang, Zhaohui Wu, Qinghua Zheng, Jun Liu
ECML
2005
Springer
16 years 6 days ago
A Comparison of Approaches for Learning Probability Trees
Probability trees (or Probability Estimation Trees, PET’s) are decision trees with probability distributions in the leaves. Several alternative approaches for learning probabilit...
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice...