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Table 1: Features of many mobile-agent systems.
2002
Cited by 36
Table 2: Features of many mobile-agent systems.
2002
Cited by 36
Table 1. Basic feature sets. Each row gives the name of the feature set, which representation it is based on, its feature extraction strategy, and how many distinct features are extracted for the set from Redwoods 5.
in Cambridge University Press Active Learning and Logarithmic Opinion Pools for HPSG Parse Selection
2006
"... In PAGE 4: ...xplain later in Section 3.2, diversity is crucial for reducing the error rate of LOP models. We create six different basic feature sets by using different representations and/or feature extraction strategies. These are summarised in Table1 . The precise details of these feature sets are not important here.... ..."
Table 1. Additional adaptive features in OntoAIMS as pointed out by the ten users in the second study (the numbers show how many students support the feature).
2005
Cited by 8
Table 2: System runs. The Feature column shows which feature our system reviewed, Badger extracted named entities or noun phrases. Min days shows the minimum number of consecutive days a feature had to appear above our threshold to be reported. # Features is the total number of distinct features in the corpus, and # Used is the total number with df gt;4. Signi cant features shows how many features were agged, and signi cant stories shows how many stories were formed from the features.
1999
Cited by 22
Table 2. Consistent indicator features within each of the sys- tems used in the study. Numbers in parentheses show in how many paired-clasification tests the feature names was an indi- cator for the given clas of documents.
"... In PAGE 4: ... To simplify presentation of the results, we wil cal a fea- ture consistently indicative, if it was indicative at al for one clas of document in at least 25 of the 36 trials. Table2 shows the consistently indicative features found. Most important for understanding these results are opositions, in which an option in a particular system is strongly indicative of one article clas (either experimen- tal or historical science) while a diferent option of that same system is indicative of the other clas.... ..."
Table 4, the c-command feature is seen more than twice often in Arabic and English as in Chinese. Since low- count features are ltered out, the sparsity of pronoun events prevent many compound features (e.g., conjunc- tion of syntactic and distance features) from being trained in the Chinese system, which explains why the syntactic features do not help Chinese pronouns.
"... In PAGE 6: ...the Chinese language. In Table4 , we list the statistics collected over the training sets of the three languages: the second row are the total number of mentions, the third row the number of pronoun mentions, the fourth row the number of events where the c-command feature ccmd(m1, m2) is used, and the last row the average number of c-command features per pro- noun (i.... In PAGE 6: ...oun (i.e., the fourth row divided by the third row). A pronouns event is de ned as a tuple of training instance (e, m1, m2) where m1 is a mention in entity e, and the second mention m2 is a pronoun. From Table4 , it is clear that Chinese pronoun distribution is very different: pronoun mentions account for about 8.7% of the total mentions in Chinese, while 29.... In PAGE 6: ...4.3 Arabic System As stated in Table4 , 29.0% of Arabic mentions are pro- nouns, compared to a slightly lower number (25.... ..."
Table 5.1: How many linear features are recognized in each image, using the S-4 scaling? The sub-images of Image 5c are horizontal strips of width 512 pixels, centered vertically on the main trip wire.
in Pims Ips 2
Table 1.1: How many linear features are recognized in each image, using the S-4 scaling? The sub-images of Image 5c are horizontal strips of width 512 pixels, centered vertically on the main trip wire.
Table 5.1: 3D Box example in obj-format The complete obj specification covers many more features such as object groups, vertex normals, materials and texture coordinates that may be incorporated into the simulator at a
2006
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