Logarithmic Concave Measures and Related Topics
... and f , g are non-negative Borel-measurable functions which implies the Lebesguemeasurability of r. (This is proved in 20] for the case of m = 1 and the same proof can be used for m 2. The formulation of Theorem 1 in 20] has to be corrected in such a way that we assume f and g to be Borel-measu ...
... and f , g are non-negative Borel-measurable functions which implies the Lebesguemeasurability of r. (This is proved in 20] for the case of m = 1 and the same proof can be used for m 2. The formulation of Theorem 1 in 20] has to be corrected in such a way that we assume f and g to be Borel-measu ...
Chapter 5 - Pearson Higher Education
... “For even the most stupid of men, by some instinct of nature, by himself and without any instruction, is convinced that the more observations have been made, the less danger there is of wandering from one’s goal.” In probability, an experiment is any process with uncertain results that can be repeat ...
... “For even the most stupid of men, by some instinct of nature, by himself and without any instruction, is convinced that the more observations have been made, the less danger there is of wandering from one’s goal.” In probability, an experiment is any process with uncertain results that can be repeat ...
Integrated Common Sense Learning and Planning in POMDPs
... i.e., with knowledge of o(1) , . . . , o(i) and a(1) , . . . , a(i−1) . We refer to the agent’s strategy for choosing such actions as a policy. One normally also fixes some kind of a reward (or loss) function over the states S to quantify how “good” or “bad” an agent’s policy for acting in the envir ...
... i.e., with knowledge of o(1) , . . . , o(i) and a(1) , . . . , a(i−1) . We refer to the agent’s strategy for choosing such actions as a policy. One normally also fixes some kind of a reward (or loss) function over the states S to quantify how “good” or “bad” an agent’s policy for acting in the envir ...
Benchmarking real-valued acts
... Of course, one can apply the existing axiomatizations for preference representation to the benchmarking procedure simply by expanding the primitive state space to Ω. This is a natural move and, in a well-known discussion about small worlds, Savage (1954) recommends that the state space be taken as l ...
... Of course, one can apply the existing axiomatizations for preference representation to the benchmarking procedure simply by expanding the primitive state space to Ω. This is a natural move and, in a well-known discussion about small worlds, Savage (1954) recommends that the state space be taken as l ...
