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» Modeling word burstiness using the Dirichlet distribution
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ICMCS
1997
IEEE
142views Multimedia» more  ICMCS 1997»
15 years 10 months ago
A Rate Allocation Policy with MCR/PCR Support and Distributed ABR Implementation Using Explicit Rate Feedback
An important concept in the available bit rate (ABR) service model as defined by the ATM Forum is the minimum cell rate (MCR) guarantee as well as the peak cell rate (PCR) constra...
Yiwei Thomas Hou, Henry H.-Y. Tzeng, Shivendra S. ...
NIPS
2004
15 years 7 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek
CIKM
2010
Springer
15 years 3 months ago
Modeling reformulation using passage analysis
Query reformulation modifies the original query with the aim of better matching the vocabulary of the relevant documents, and consequently improving ranking effectiveness. Previou...
Xiaobing Xue, W. Bruce Croft, David A. Smith
137
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MOBIHOC
2009
ACM
16 years 6 months ago
Characterizing the exit process of a non-saturated IEEE 802.11 wireless network
In this paper, we consider a non-saturated IEEE 802.11 based wireless network. We use a three-way fixed point to model the node behavior with Bernoulli packet arrivals and determi...
Punit Rathod, Onkar Dabeer, Abhay Karandikar, Anir...
NIPS
2000
15 years 7 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...