… that we use to produce nets with high-quality … nets that we use to show that the space of
dyadic sequences is significantly smaller than that of nets, reducing the possibility of optimizing …

… dyadic net into a digital dyadic sequence. For example, we can reorder the Hammersley net
or the Larcher-Pillichshammer net into digital dyadic … nets and sequences we may optimize …

… In this paper, we study collective dynamics in networks with higher-order interactions, … a
constrained optimization scenario, we observe that there is often an ideal balance of dyadic to …

… is a computationally demanding optimization problem. The … By solving a companion global
optimization problem, this … The expected net benefits of i are given by(4) π i ( s ij , 0 ) = 0 …

… , for co-manipulation tasks with varied dyadic objective goals. This ability is particularly … by
a joint optimization using non-linear solvers. We demonstrate the efficacy of the optimization …

… Such models can be locally adapted to optimize the tradeoff … be thought of as comprising
an -net, with the prefix code playing a … The root fragment is then optimized to yield the smallest …

… For a supervised setting, the goal is to optimize the following empirical risk minimization …
Note that with this approach, we only need to perform a dyadic scaling of qm and add the result …

… In overview, we implement the algorithm by separately optimizing the parameter Wθ of GNNs
towards utility, and adjusting A towards dyadic fairness by gradient descent and empirical …

… to the assessment of tutor/tutee dyads within the context of a … -solving to ensure optimized
scoring through clearing lines in sets … were networked via a serial port network in star topology. …

… Such models can be locally adapted to optimize the trade-off between bias and variance. In
classification a 0 − 1 loss is used. Traditional estimation error bounds in this case give rise to …