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KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 1 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
127
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VLSID
2007
IEEE
149views VLSI» more  VLSID 2007»
16 years 29 days ago
Efficient and Accurate Statistical Timing Analysis for Non-Linear Non-Gaussian Variability With Incremental Attributes
Title of thesis: EFFICIENT AND ACCURATE STATISTICAL TIMING ANALYSIS FOR NON-LINEAR NON-GAUSSIAN VARIABILITY WITH INCREMENTAL ATTRIBUTES Ashish Dobhal, Master of Science, 2006 Thes...
Ashish Dobhal, Vishal Khandelwal, Ankur Srivastava
ICALP
2009
Springer
16 years 26 days ago
External Sampling
We initiate the study of sublinear-time algorithms in the external memory model [14]. In this model, the data is stored in blocks of a certain size B, and the algorithm is charged...
Alexandr Andoni, Piotr Indyk, Krzysztof Onak, Roni...
110
Voted
IUI
2010
ACM
15 years 9 months ago
A POMDP approach to P300-based brain-computer interfaces
Most of the previous work on non-invasive brain-computer interfaces (BCIs) has been focused on feature extraction and classification algorithms to achieve high performance for the...
Jaeyoung Park, Kee-Eung Kim, Sungho Jo
101
Voted
TMA
2010
Springer
166views Management» more  TMA 2010»
15 years 7 months ago
Understanding and Preparing for DNS Evolution
The Domain Name System (DNS) is a crucial component of today’s Internet. The top layer of the DNS hierarchy (the root nameservers) is facing dramatic changes: cryptographically s...
Sebastian Castro, Min Zhang, Wolfgang John, Duane ...