L-space without any uncountable 0-dimensiolan subspace

THE SPACE Hp WITH 0<p<l

Subspace Fitting without Eigendecomposition

Subspace fitting has become a well known method to identify FIR Single Input Multiple Output (SIMO) systems, only resorting to second-order statistics. The main drawback of this method is its computational cost, due to the eigendecomposition of the sample covariance matrix. We propose a scheme that solves the subspace fitting problem without using the eigendecomposition of the cited matrix. The...

Any-Space Probabilistic Inference

We have recently introduced an any-space algorithm for exact inference in Bayesian networks, called Recursive Conditioning, RC, which allows one to trade space with time at increments of X-bytes, where X is the number of bytes needed to cache a floating point number. In this paper, we present three key extensions of RC. First, we modify the algorithm so it applies to more general factorizations...

Subspace-Invariant AC^0 Formulas

The n-variable PARITY function is computable (by a well-known recursive construction) by AC0 formulas of depth d+ 1 and leafsize n·2dn . These formulas are seen to possess a certain symmetry: they are syntactically invariant under the subspace P of even-weight elements in {0, 1}, which acts (as a group) on formulas by toggling negations on input literals. In this paper, we prove a 2d(n−1) lower...

Coordination Disambiguation without Any Similarities

The use of similarities has been one of the main approaches to resolve the ambiguities of coordinate structures. In this paper, we present an alternative method for coordination disambiguation, which does not use similarities. Our hypothesis is that coordinate structures are supported by surrounding dependency relations, and that such dependency relations rather yield similarity between conjunc...