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Table 3. Online rich classifiers can provide meaningful and stable categories that add context to the search results.

in Categorizing web search results into meaningful and stable categories using fast-feature techniques
by Bill Kules, Jack Kustanowitz, Ben Shneiderman 2006
Cited by 3

Table 7: Variables included in the model Variable category Variable name Label Background Back Stable user characteristics

in International Journal of Biomedical Informatics, 2006 User Modeling And Adaptation In Health Promotion Dialogs With An Animated Character
by Fiorella De Rosis, Nicole Novielli, Valeria Carofiglio, Addolorata Cavalluzzi, Berardina De Carolis
"... In PAGE 20: ... Links therefore describe the causal relationships among stable characteristics of the users, their behavior and the dialog dynamics via intermediate nodes. Table7 describes the variables in our model, with the labels employed to denote them: 8 http://www.bayesware.... ..."

Table 2 genetic, or neural network algorithms. Perhaps more importantly, Fuzzy ARTMAP can be used in an important class of applications where many other adaptive pattern recognition algorithms cannot perform well (see Table 2). These are the applications where very large nonstationary databases need to be rapidly organized into stable variable-compression categories under real-time autonomous learning conditions.

in SELF-ORGANIZING NEURAL NETWORKS FOR STABLE CONTROL OF AUTONOMOUS BEHAVIOR IN A CHANGING WORLD
by S. Grossbergt

(Table 2)). Prognosis is poorer as patients progress to more advanced clinical categories (59). However, in patients with stable immunologic and virologic parameters, progression from one clinical category to another (e.g., from clinical category A to category B) may not represent an indication to change therapy. For example, development of new opportunistic infections, particularly in patients who had severe immunosuppression at the time therapy was initiated, may not reflect a failure of antiretroviral therapy but persistence of immunologic dysfunction despite adequate antiviral response. Thus, in patients whose disease progression is not associated with neurologic deterioration or growth failure, virologic and immunologic parameters should be considered when deciding whether to change therapy.

in unknown title
by unknown authors
"... In PAGE 13: ...e., those in clinical categories A, B, or C) (Table2... ..."

Table 2. The hydrophobic effect of the data set of 187 stable interfaces and 57 oligomer interfacesa

in Studies of protein-protein interfaces: A statistical analysis of the hydrophobic effect
by Downloaded From, C. J. Tsai, S. L. Lin, H. J. Wolfson, R. Nussinov, Email Alerting, Chung-jung Tsai, Shuo Liang Lin, Haim J. Wolfson, Ruth Nussinov 1996
"... In PAGE 4: ... In the latter consideration, different numeri- cal values are adopted, depending on whether the protein exists as a dimer, trimer, or a higher multimer. These numerical thresholds are detailed in the legend to Table2 . They have been selected following trial-and-error calculations, along with detailed inspec- tion of the resulting interface classifications by eye.... In PAGE 10: ... The thresh- old of the hydrophobic association can be estimated roughly by the percentage of the relative area buried, or absolute area buried, at the interface, which is gt; 18% and gt;3,191 A*, respectively, in the relatively large interface category of Table 1. Hydrophobic effect of stable and oligomeric interfaces The results of the statistical analysis of the 187 interfaces classified as stable ones and of the newly compiled 57 oligomeric interfaces are given in Table2 . The hydrophobic effect in the stable interfaces is clearly much stronger than that of the overall data set.... In PAGE 10: ... Nevertheless, it is noteworthy that the similar magni- tude of the hydrophobic effect in these two categories has been obtained by the enzyme-inhibitor interfaces with significantly less ASA being buried at the interface. Table2 also shows that both categories still demonstrate a stronger hydrophobic effect than the receptor-ligand interfaces. The hydrophobic effect of the 57 oligo- meric interfaces is between that of the 126 stable subunit-subunit interfaces and the 106 large interfaces (see Table I).... In PAGE 12: ... In such cases, the structure of the isolated, uncomplexed monomer differs substantially from its structure in the complexed state. The results of an examination of dimers that have been projected to fit the two-state model ( Table2 in Neet amp; Timm, 1994), and whose two-chain crystal structures are available, are consistent with this interpretation. We illustrate here four examples: arc re- pressor (1 arrAB); troponin C Ca binding 111 peptide ( 1 ctaAB); SIV protease (1 sivAB); and glutathione S-transferase (1gsrAB).... ..."

Table 1. Scenarios Frequency Scenario Wind Prob.

in Numerical Modelling for Studying the Impact of Urban
by Air Pollution In, C. Gouveia A, R. Cerdeira A, J. M Garcia A, M. Nogueira B, L. M. R. Coelho A
"... In PAGE 4: ... Under scenario D stable category, a large area of Sado estuary is affected by the plume. However these two scenarios are not very frequent ( Table1 ). NOx concentrations from industries in the studied areas are negligible comparing with the city centre activities.... ..."

Table 11: Event table for Stable state. Stable

in HyperCast: A Protocol for Maintaining a Logical Hypercube-Based Network Topology
by Tyler Kien Beam 1999
Cited by 2

Table 1: Critical time steps selected for each category of balanced gravity wave subsets.

in Optimizing Computations in Weather and Climate Prediction Models
by F. Baer, Baer Banglin Zhang, Bing Zhang 1998
"... In PAGE 14: ... The tenth category had a time step of 12 minutes and included only a small fraction of the gravity modes in the balanced subset. Table1 lists the time steps used for cutoff of the balanced modes in the various categories. Note that one can integrate with a smaller time step than the critical one for any category, since all the explicitly predicted modes for any category are linearly stable for the critical time step listed.... ..."
Cited by 1

Table 3: Stable Coalition Structures*

in Measures to Enhance the Success of Global Climate Treaties
by Johan Eyckmans, Michael Finus
"... In PAGE 14: ...2.3 Results Table3 lists internally and externally stable coalition structures that are stable under at least one scenario. X means that this coalition structure is internally and externally stable (as defined in section 4.... In PAGE 14: ...3. Table3 about here Whereas in the no transfer case no coalition was stable, now at least one coalition is stable under every transfer scheme. With exception of scenario 4c, only one or two coalitions are stable.... In PAGE 14: ... Nevertheless, also small coalitions can make a difference by closing the gap between no and full cooperation under most scenarios by 50 or more percent. Under most scenarios, the number of violations VISi as listed in Table 2 already provides a good indication which regions participate in a stable coalition as listed in Table3 : only regions with a low VISi number form stable coalitions. It is interesting to observe that no coalition including only the key industrialized regions USA, JPN and EU is stable.... In PAGE 14: ... This indi- cates that it is not that straightforward to establish stable cooperation between industrialized countries, countries in transition and developing countries through transfers. As conjectured 8 Total transfers in the last column of Table3 are the sum of all positive transfers (=sum of all negative transfers) but not the sum of all transfers that is zero by definition. Total transfers are an indicator of the amount of financial resources redistributed by the transfer scheme.... In PAGE 16: ...3.2 Results In Table3 , X indicates stable coalition structures under exclusive membership where we restrict attention to unanimity voting. In the case of no transfers (scenario 0), the impact is dramatic.... ..."

Table 1: October 2002 Minutes by Category Category Representative Site Adopters Non-Adopters T-statistic*

in Broadband adoption and content consumption
by Lorin Hitt, Prasanna Tambe 2007
"... In PAGE 7: ... To provide a sense for this categorization, Table 1 lists a representative website for each of these categories and reports the time spent online for each category by adopters and non-adopters. [ Table1 about here] These categories are available for the 2002 session data but not for the 2004 session data, so we construct a mapping of domain names to site categorizations using the 2002 data, and then use this mapping to apply categories to the 2004 data. In a later section, we describe robustness checks that we conduct to ensure that this mapping does not introduce errors into our data that may bias our results.... In PAGE 10: ... Identification in our model therefore relies on the assumption that any two individuals who spend the same amount of time online, conditional on income, should have similar preferences for online content. By including pre-broadband Internet usage as a covariate along with income, we condition on preferences for broadband and account for the large observed differences in pre-broadband usage observed in Table1 . By using pre-treatment usage to infer preference for online content, we implicitly rely on the assumption that preferences for individuals are stable over time.... In PAGE 27: ... Table1 0: Validating Classification Using DMOZ Categories DMOZ Category Categorized % (of Total) Missing % (of Total) Difference Arts 12125 10.02 2734 6.... ..."
Cited by 1
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