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Table 3: Comparing our EBMT system with Logo- media in a Human Evaluation: Intelligibility
2003
"... In PAGE 6: ... The results of the human evaluation are given in Ta- bles 3 and 4. With respect to intelligibility, while the scores for Logomedia remain better than for our EBMT sys- tem, the disparity in terms of the raw counts given in Table3 are nowhere near as large as may have System Score 0 1 2 3 Exact Our System 10 30 35 118 7 Logomedia 2 21 40 123 14 Table 3: Comparing our EBMT system with Logo- media in a Human Evaluation: Intelligibility... In PAGE 7: ... More manual investigation needs to be undertaken to discover which particular sentence types we are bet- ter able to cope with, and which outstanding prob- lems remain. However, more importantly, Table3 shows that 59%, or 118 translations produced by our EBMT system were deemed to be correct, yet which dif- fered in some way from the oracle translation. These would all be penalised in the automatic evaluation.... ..."
Cited by 7
TABLE 1. The key elements in emotional, social, and systems intelligence. The table of emotional and social intelligence, presented by Daniel Goleman (2006), is extended with systems intelligence.
"... In PAGE 7: ... In social intelligence the key factors are always human beings but in systems intelligence the environment, the system, is also a key factor. TABLE1 summarizes the key differences between these three intelligences as I see them. In general, systems intelligence finds the big system more important than the pieces that form it.... ..."
Table 3: Example of Inference inference, in spite of the fact that little information, given only in the set of example inferences, was available. These surprisingly good results illustrate the great generalization ability of the system, comparable to human intelligence, and con rms the correctness of the heuristics proposals for work with incomplete and irrelevant information, and for explanation. This program, because of its generality, can be applied in arbitrary areas where the middle-complex expert system needs to be created in a relatively short time. We can state that the neural approach to expert system design studied here is a possible alternative to the classical rule-based methods. Finally, we are working on the third version of EXPSYS, which will be much more user-comfortable than the previous one. It will be also easily adjustable to any other computer environment. The basic con guration will include interfaces for MS Windows and X Windows. We hope that the implementation under the Unix operating system will speed up the learning process, and enable the management
Table 5. Requirements of computational systems for intelligent organisational decision-making
1994
"... In PAGE 14: ... The features of the system architecture are: parallelism; distribution; modularity; heterogeneity; communication; organisation; and human interaction; see Mentzas (1993b) for a detailed presentation. Table5 gives an overview and an explanation of these features. An illustration of the operation of IOIS systems in a production environment is also given in Mentzas (1993b).... ..."
Cited by 2
Table 1 illustrates possible behavior levels within the robotic soccer domain. Because of the complexity of the domain, it is futile to try to learn intelligent behaviors straight from the primitives provided by the server. Instead, we iden- ti ed useful low-level skills that must be learned before moving on to higher level strategies. Using our own experience and insights to help the clients learn, we acted as human coaches do when they teach young children how to play real soccer.
1998
"... In PAGE 5: ... Table1 . Examples of di erent behavior levels.... ..."
Cited by 27
Table 1. Definitions of intelligence
"... In PAGE 2: ... How can this controversial and subjective concept be defined accurately? I confronted this dilemma by examining its definition in different fields. Table1 lists different concepts of the term intelligence. 130 The systemic theory of living systems part II Figure 1.... In PAGE 3: ...131 Intelligence H11549 informational entity By analyzing common traits within the definitions given in Table1 , intelligence may be defined as that emergent informa- tional entity, capable of learning, exerting control, emitting and receiving communication, handling energy flows, establishing feedback mechanisms and creating organization for survival. Emergent implies a higher level of intelligence of the whole, stemming from the intelligence of its parts.... ..."
Table 2. Intelligibility scores
"... In PAGE 7: ... The test was performed on 10 listeners using the voice of a female speaker coded with three different coders: the MELP (Stanag 4591), the HSX (Stanag 4479), and the VLBR. The results gathered in Table2 are the mean recognition score per coder. The VLBR is ranked before the Stanag 4479 but does not reach Stanag 4591 performances.... ..."
Table 2. Intelligence Cycles
Table 6 Comparison of Video Intelligibility Scenario Intelligibility Index
"... In PAGE 18: ...3 Impact on Video Intelligibility As stated in Section 4, the proposed UPTA algorithm aims to recover bandwidth wasted by multimedia connections (during U intervals) without inflicting any fur- ther damage to the overall intelligibility of the communications. Using the intelli- gibility index defined in Section 6, Table6 shows the overall intelligibility of the received video at the destination under all five scenarios. As we can see, UPTA has very little effect on the overall intelligibility of the video connection.... In PAGE 18: ... This result substantiates that our proposed UPTA is capable of improving TCP performance without inflicting noticeable damage on multimedia. The good performance of UPTA with respect to intelligibility index ( Table6 ) is due to its success in maintaining the number of intelligible frames, and reducing only unintelligible frames. For WFQ implementation, the distribution of intelligible and unintelligible frames under all five scenarios are shown in Fig.... ..."
Cited by 1
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