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» Theory and Use of the EM Algorithm
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CIKM
2009
Springer
15 years 10 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
107
Voted
DOCENG
2009
ACM
15 years 10 months ago
On the analysis of queries with counting constraints
We study the analysis problem of XPath expressions with counting constraints. Such expressions are commonly used in document transformations or programs in which they select porti...
Everardo Bárcenas, Pierre Genevès, N...
124
Voted
ISLPED
2009
ACM
184views Hardware» more  ISLPED 2009»
15 years 10 months ago
Online work maximization under a peak temperature constraint
Increasing power densities and the high cost of low thermal resistance packages and cooling solutions make it impractical to design processors for worst-case temperature scenarios...
Thidapat Chantem, Xiaobo Sharon Hu, Robert P. Dick
152
Voted
MOBICOM
2009
ACM
15 years 10 months ago
Impact of mobility on spectrum sensing in cognitive radio networks
In cognitive radio networks (CRNs), spectrum sensing is key to opportunistic spectrum access while preventing any unacceptable interference to primary users’ communications. Alt...
Alexander W. Min, Kang G. Shin
SIGIR
2009
ACM
15 years 10 months ago
An improved markov random field model for supporting verbose queries
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
Matthew Lease