### Table 4: Bounds on for the general matrix c

### Table 3. The Generalization matrix for the Checkpointed System pattern.

### Table 2: Generalization matrix associated with the contextual discounting in the case K =2.

2006

### Table 3: Generalization matrix associated with the contextual discounting in the case K =3.

2006

### Table 1. Messaging systems: general features matrix

2003

"... In PAGE 30: ....2.5.1 General Features Table1 shows the general features matrix. While all systems offer the push technology, which pushes messages to interested objects, only the CORBA Services support the pull concept, in which clients have to get messages themselves.... ..."

Cited by 1

### Table 3: Generalized payoff matrix for the EFPD.

"... In PAGE 4: ... Otherwise, it is said to have cooperated (C). Viewed in this way, the game turns into the game shown in matrix form in Table3 , where S, P, R, and T are all expected payoffs. If the actions (C or D) of the agents are played optimally, then S = 8, P = 15, R = 24, and T = 30.... ..."

### Table 2: General loss matrix for two-class learning problems.

1999

"... In PAGE 4: ... To incorporate classi cation costs, we can consider manipulating these weights. For example, consider the general two-class loss matrix shown in Table2 . We can place a weight of cost1 on every training example in class 1 and a weight of cost2 every example in class 2.... ..."

Cited by 5

### Table 2: General loss matrix for two-class learning problems.

1999

"... In PAGE 4: ... To incorporate classi cation costs, we can consider manipulating these weights. For example, consider the general two-class loss matrix shown in Table2 . We can place a weight of cost1 on every training example in class 1 and a weight of cost2 every example in class 2.... ..."

Cited by 5

### Table 2: General loss matrix for two-class learning problems.

1999

Cited by 5