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Table 2.2: A summary of machine learning based anomaly detection systems.

in Network Anomaly Detection with Incomplete Audit Data
by Animesh Patcha, Dr. Luiz, A. Dasilva, Dr. Sandeep, K. Shukla, Dr. Christopher, L. North, Animesh Patcha, Late Smt Anasuya Devi 2006

Table 4 Performance of the learning-based disambiguator on the locally disambiguated dataset.

in
by unknown authors
"... In PAGE 6: ...,217 (10.62%) were author-disambiguated. The context window size3 is fixed at 8. In Table4 we summarize the results of the classification using the learning-based disambiguator. The table shows that retaining phrases improves performance greatly.... ..."

Table 2. Distribution of the writing style at learning base.

in Isolated Word Recognition in Brazilian Bank Check Legal Amounts
by Cinthia Obladen De Almendra Freitas, Abdenaim El Yacoubi, Cinthia Obladen, De Almendra Freitas, Abdenaim El, Flavio Bortolozzi, Robert Sabourin 2000
Cited by 2

Table 3. Results for rule-based, learning-based, and hybrid methods

in Integrating Attribute-Based Classification for Answer Set Construction
by Hyo-Jung Oh, Moon-Soo Chang, Myung-Gil Jang, Sung Hyon Myaeng
"... In PAGE 8: ...As expected, we obtained better results progressively as we combined the rule-based and learning- based methods. As in Table3 , it is clear that the hybrid method (.6478) outperforms the conventional method of using rule alone (.... ..."

Table 3. Summary of the learning-based view generalization experiment. A disjoint test set was used for testing the retrieval capability.

in SHOSLIF-O: SHOSLIF for Object Recognition and Image Retrieval (Phase II)
by Daniel Swets
"... In PAGE 23: ... We used a disjoint test set for determining the accuracy of the learning-based view generalization. The results of this experiment are summarized in Table3 . Though Table 3... ..."

Table 3. Summary of the learning-based view generalization experiment. A disjoint test set was used for testing the retrieval capability.

in SHOSLIF-O: SHOSLIF for Object Recognition and Image Retrieval (Phase II)
by Daniel L. Swets, John J. Weng 1995
"... In PAGE 22: ... We used a disjoint test set for determining the accuracy of the learning-based view generalization. The results of this experiment are summarized in Table3 . Though Table 3 shows favorable results, 100% accuracy was not achieved.... ..."
Cited by 6

Table 3. Summary of the learning-based view generalization experiment. A disjoint test set was used for testing the retrieval capability.

in SHOSLIF-O: SHOSLIF for Object Recognition and Image Retrieval (Phase II)
by Daniel L. Swets, John J. Weng 1995
"... In PAGE 22: ... We used a disjoint test set for determining the accuracy of the learning-based view generalization. The results of this experiment are summarized in Table3 . Though Table 3 shows favorable results, 100% accuracy was not achieved.... ..."
Cited by 6

Table 6. Summary of the learning-based parameter generalization experiment. A disjoint test set was used for testing the retrieval capability.

in Hierarchical Discriminant Analysis for Image Retrieval
by Daniel L. Swets, Juyang Weng 1999
"... In PAGE 29: ...1 was used. Table6 shows the data pursuant to this experiment. 3.... ..."
Cited by 32

Table 7. Summary of the learning-based view generalization experiment. A disjoint test set was used for testing the retrieval capability.

in Hierarchical Discriminant Analysis for Image Retrieval
by Daniel L. Swets, Juyang Weng 1999
Cited by 32

Table 6. Summary of the learning-based parameter generalization experiment. A disjoint test set was used for testing the retrieval capability.

in Hierarchical Discriminant Analysis for Image Retrieval
by Daniel L. Swets, John (Juyang) Weng 1999
"... In PAGE 27: ...1 was used. Table6 shows the data pursuant to this experiment.... ..."
Cited by 32
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