### Table 4). Thus, in classical information-theoretic terms, K can be

2000

Cited by 8

### Table 1. Summary of three families of information-theoretic measures of diversity.

### Table 2: Information theoretical measures (normalised)

### Table 6.1: A possible classification of emergent intelligence, using an information-theoretic

2002

### Table 3.6: Features eliminated by information-theoretic feature selection.

### Table 1. Comparison of previous work and the situation theoretic approach. (? denotes lack of information regarding a particular issue, or an incomplete characterization.)

1997

"... In PAGE 11: ... Our formal model of context di ers from these in being stated in the framework of situation theory (Devlin 1991). The comparison of previous works and the situation theoretic approach is summarized in Table1 , where the rst row categorizes the language of formalization. Since our work is essentially an application of Barwise apos;s ideas (Barwise 1986), no attempt is made in Table 1 to add an extra column corresponding to our approach.... In PAGE 11: ... The comparison of previous works and the situation theoretic approach is summarized in Table 1, where the rst row categorizes the language of formalization. Since our work is essentially an application of Barwise apos;s ideas (Barwise 1986), no attempt is made in Table1 to add an extra column corresponding to our approach.... ..."

Cited by 12

### Table 3. The performance of different approaches combining feature weighting and instance selection

"... In PAGE 19: ...2 we combined the information-theoretic fea- ture weighting and instance selection to reach a maximal level of performance. The empirical results ( Table3... ..."

### Table 3. Shannon and Davio expansions and their information measures Type Rule of Expansion Information theoretic measures

2000

"... In PAGE 2: ... Given a node assigned by the couple (DCBN AX), a function CU is characterized by the entropy C0B4CUB5, and the resulting successors are distinguished by the conditional entropy C0 AX B4CUCYDCB5. A step in decomposition of the function CU with respect to variable DC and expansion type AX is described in terms of information theory as follows C1 AX B4CUBN DCB5BPC0B4CUB5 A0 C0 AX B4CUCYDCB5BM (2) Table3 shows information theoretic measures of CB, D4BW and D2BW expansions for a switching function CU with respect to variable DC. Example 1.... ..."

Cited by 1

### Table 4. Analogues of Shannon and Davio expansions in GF(4) and their information measures Type Rule of expansion Information theoretic measures

2000

"... In PAGE 2: ... 3.1 Information theoretic notations of BGA0CB, BGA0D4BW and D5A0BGA0D2BW expansions We propose the information measures of the expansion types, in GF(4), grouped in Table4 , where C2 CX B4DCB5, CX BP BCBNBMBMBMBNCZ A0 BD, are the characteristic functions; C2 CX B4DCB5 BP BD if DC BP CX and C2 CX B4DCB5BPBCotherwise. It was shown in [10] that BGA0CB expansion of a 4-valued logic function is equivalent to CB expansion of the function.... ..."

Cited by 1