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» SVM Based Learning System for Information Extraction
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224
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VLSISP
2011
358views Database» more  VLSISP 2011»
14 years 11 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
CW
2005
IEEE
15 years 10 months ago
Applying Transformation-Based Error-Driven Learning to Structured Natural Language Queries
XML information retrieval (XML-IR) systems aim to provide users with highly exhaustive and highly specific results. To interact with XML-IR systems, users must express both their ...
Alan Woodley, Shlomo Geva
138
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VIP
2003
15 years 6 months ago
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
Yong Xia, David Dagan Feng, Rongchun Zhao
140
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VLDB
1990
ACM
116views Database» more  VLDB 1990»
15 years 8 months ago
A Probabilistic Framework for Vague Queries and Imprecise Information in Databases
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
Norbert Fuhr
ICADL
2003
Springer
145views Education» more  ICADL 2003»
15 years 9 months ago
Towards Web Mining of Query Translations for Cross-Language Information Retrieval in Digital Libraries
This paper proposes an efficient client-server-based query translation approach to allowing more feasible implementation of cross-language information retrieval (CLIR) services in ...
Wen-Hsiang Lu, Jenq-Haur Wang, Lee-Feng Chien