A Note on a Priori Information

A Note on a priori Estimations of Classification Circuit Complexity

The paper aims at tight upper bounds for the size of pattern classification circuits that can be used for a priori parameter settings in a machine learning context. The upper bounds relate the circuit size S(C) to nL := log2 mL , where mL is the number of training samples. In particular, we show that there exist unbounded fanin threshold circuits with less than (a) SR cc := 2 · √ 2nL + 3 gates ...

Kant on the "A priori" Toward an Interpretation

A priori information and optimisation in polarimetry.

Polarimetric measurements are designed to obtain information pertaining to the system under study, however noise in the system limits the precision and hence information obtainable. Exploitation of a priori knowledge of the system allows for an improvement in the precision of experimental data. In this vein we present a framework for system design and optimisation based upon the Fisher informat...

Exploiting a Priori Information in Multiple - Channelsignal

This paper addresses questions about how the distribution of the generalized coherence (GC) estimate formed with data from several noisy channels is aaected by prior knowledge about the presence of a signal on one or more of the channels. In particular, the distribution of the estimate is shown to be invariant to the statistics of one of the channels under established signal-absent hypotheses o...

Speech enhancement using a-priori information

In this paper, we present a speech enhancement technique that uses a-priori information about both speech and noise. The apriori information consists of speech and noise spectral shapes stored in trained codebooks. The excitation variances of speech and noise are determined through the optimization of a criterion that finds the best fit between the noisy observation and the model represented by...