… updating weights of experts rather than an early opinion adjustment perspective, and we
design an expert-weight-updating-based strategy … an expert-weight-updating-based strategy to …

… 4 we consider a repeated game setting that dynamically reflects expert performance via
weight updates in rounds of approval voting (a measure of “reputation”). In this setting we show …

… Finally, an adaptive position updating strategy and terminal … complex optimization problems
in expert systems. 30 complex … weight is adopted, however, the non-linear inertia weight has …

… can get away with keeping only one weight per expert, as done in the Static-expert algorithm.
So the “… We modify the Static-expert Algorithm by adding an additional update to obtain our …

… The following theorem, the main result of this section, characterizes the loss of this strategy
… It works by maintaining a (nonnegative) weight for each expert. The weight of expert i at time t …

… a connection that multiplies its strength by weight w, to form the … timing strategies were
computed, and the strategy with the … The predicted strategy for the test item is the strategy most …

… combine the merits of automatic strategy and interactive strategy. Using the MCC solution, …
For simplicity, we suppose that the weight of each expert to be equal. Thus, the weight of the …

… In proposing this method for expert model updating and … of the overall model search and
updating strategy. ( 9 ) Under the … weight of Expert 1 increases to 0.667, while that of Expert 2 …

… weight and variable spiral position update strategy was proposed in this paper. Firstly, the
reasons for the insufficient convergence accuracy and speed caused by the extreme random …

… [33] employed a linearly decreasing function to update the inertia weight. Furthermore, the …
[29] defined different velocity updating strategies based on the swarm diversity. The algorithm …