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» A New Method for Interoperability Test Generation
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 2 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
68
Voted
DATE
2009
IEEE
76views Hardware» more  DATE 2009»
15 years 8 months ago
LFSR-based test-data compression with self-stoppable seeds
—The main disadvantage of LFSR-based compression is that it should be usually combined with a constrained ATPG process, and, as a result, it cannot be effectively applied to IP c...
M. Koutsoupia, Emmanouil Kalligeros, Xrysovalantis...
96
Voted
HT
2010
ACM
15 years 7 months ago
Community-based ranking of the social web
The rise of social interactions on the Web requires developing new methods of information organization and discovery. To that end, we propose a generative community-based probabil...
Said Kashoob, James Caverlee, Krishna Kamath
84
Voted
GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
15 years 6 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...
159
Voted
TON
2010
167views more  TON 2010»
14 years 8 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...