In this paper we propose a new training algorithm for a class of polynomial models. The algorithm is derived using a learning bound for predictors that are convex combinations of functions from simpler classes. In our case, the hypotheses are polynomials over the input features, and they are ...
T(n)=4T(n/2)+f(n), in which f(n)=O(n)f(n)=O(n) the time complexity of polynomial addition. Using the Master Theorem with a=4,b=2,logba=log24=2>1a=4,b=2,logba=log24=2>1, we have T(n)=O(nlogba)=O(n2)T(n)=O(nlogba)=O(n2). So, let's ...
Method for polynomial calculation using 1-bit coefficients, whereby the calculation is undertaken in the multiplexor accumulator (MAC) of a processor with a computer mechanism that is divided into slices with data paths assigned to each slice. The method uses data words with wider bit width to in...
We present log-log plots for the scaling of prediction error ϵ with T and N: the slope corresponds to the exponent of the polynomial function ϵ(T), ϵ(N). The shaded regions show the standard deviation over different spin pairs. b Visualization. We plot how much each coupling J...
The authors defined two quantum algorithms for this purpose. As the authors found, improvements can be achieved through the application of quantum amplitude amplification to the version space interpretation of the perceptron model. In [283], the authors used the Instantaneous Quantum Polynomial time ...
It must be observed that with the addition of this tighter constraint on the output (i.e. that it be T-depth optimal), there is a probability that the complexity of the problems change. For example, it was known that a quantum circuit can be synthesized in poly(2n) time, where 2n ...
The algorithm is shown to achieve an arbitrary high probability of success of $1-\\\epsilon$ for small $\\\epsilon>0$ using a polynomial resources. In addition to solving the MAX-E3-SAT problem, the proposed algorithm can also be used to decide if an E3-CNF Boolean formula is satisfiabl...
In this paper, we propose an algorithm for the cubic- polynomial evaluation. The iterative algorithm involves two addition operations at each step. The error incurred by the simplification of operations can be easily compensated with an additional subtraction. Hence, the total amount of ...
In many cases, we can find a mapping to the decision form of the Ising model with a polynomial number of steps for the NPC (Non-deterministic Polynomial Complete) problem1–4. Therefore, many optimiza- tion problems can be formulated as Ising models to find the ground state, or the ...
1. Image reconstruction algorithm accelerated by polynomial for electrical capacitance tomography system; 基于多项式加速的电容层析成像图像重建算法更多例句>> 2) polynomial acceleration 多项式加速[法]3) polynomial acceleration and deceleration method 多项式加减速...