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AIRS
2010
Springer
13 years 4 months ago
Tuning Machine-Learning Algorithms for Battery-Operated Portable Devices
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...
Ziheng Lin, Yan Gu, Samarjit Chakraborty
VL
2002
IEEE
107views Visual Languages» more  VL 2002»
14 years 12 days ago
Reasoning about Many-to-Many Requirement Relationships in Spreadsheets
To help improve the reliability of spreadsheets created by end users, we are working to allow users to communicate the purpose and other underlying information about their spreads...
Laura Beckwith, Margaret M. Burnett, Curtis R. Coo...
DEXA
2009
Springer
176views Database» more  DEXA 2009»
13 years 5 months ago
Analyzing Document Retrievability in Patent Retrieval Settings
Most information retrieval settings, such as web search, are typically precision-oriented, i.e. they focus on retrieving a small number of highly relevant documents. However, in sp...
Shariq Bashir, Andreas Rauber
23
Voted
NIPS
2008
13 years 9 months ago
Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
Liu Yang, Rong Jin, Rahul Sukthankar
ACL
2011
12 years 11 months ago
Semi-supervised latent variable models for sentence-level sentiment analysis
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
Oscar Täckström, Ryan T. McDonald