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121
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ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
15 years 19 days ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis
139
Voted
MOBISYS
2009
ACM
16 years 3 months ago
Longitudinal study of a building-scale RFID ecosystem
Radio Frequency IDentification (RFID) deployments are becoming increasingly popular in both industrial and consumer-oriented settings. To effectively exploit and operate such depl...
Evan Welbourne, Karl Koscher, Emad Soroush, Magdal...
105
Voted
ANLP
1997
80views more  ANLP 1997»
15 years 4 months ago
Sequential Model Selection for Word Sense Disambiguation
Statistical models of word-sense disambiguation are often based on a small number of contextual features or on a model that is assumed to characterize the interactions among a set...
Ted Pedersen, Rebecca F. Bruce, Janyce Wiebe
136
Voted
APWEB
2005
Springer
15 years 8 months ago
Using Probabilistic Latent Semantic Analysis for Personalized Web Search
Web users use search engine to find useful information on the Internet. However current web search engines return answer to a query independent of specific user information need. S...
Chenxi Lin, Gui-Rong Xue, Hua-Jun Zeng, Yong Yu
130
Voted
EMNLP
2010
15 years 20 days ago
A Probabilistic Morphological Analyzer for Syriac
We define a probabilistic morphological analyzer using a data-driven approach for Syriac in order to facilitate the creation of an annotated corpus. Syriac is an under-resourced S...
Peter McClanahan, George Busby, Robbie Haertel, Kr...