This paper has two major goals. First, we want to critically assess the ‘‘universal free choice’’ (UFCA) analysis as it has been formulated in Menéndez-Benito (2010) for Spanish Free Choice Items (FCIs), while updating the dependent indefinite analysis of FCIs proposed originally in Giannakidou (1997, 2001). We find the UFCA empirically inadequate for FCIs, failing to capture their correct dist...

Initial experiments on wedge samples composed of isotropic metamaterials with simultaneously negative permittivity and permeability have indicated that electromagnetic radiation can be negatively refracted. In more recently reported experiments [Phys. Rev. Lett. 90, 1074011 (2003)], indefinite metamaterial samples, for which the permittivity and permeability tensors are negative along only cert...

Indefinite probabilities are a novel technique for quantifying uncertainty, which were created as part of the PLN (Probabilistic Logic Networks) logical inference engine, which is a key component of the Novamente Cognition Engine (NCE), an integrative AGI system. Previous papers have discussed the use of indefinite probabilities in the context of a variety of logical inference rules, but have o...

Multidimensional scaling (MDS) is a technique for visualizing the relationships among data that are similar to each other on very many dimensions. For example, meanings of words such as indefinite pronouns are similar to each other by virtue of being expressed by the same indefinite pronoun in one language or another (Haspelmath 1997). If one compares indefinite pronouns of a large number of la...

The fact that in Romanian a direct object is sometimes morphologically marked by the particle pe and sometimes not is a long attested phenomenon. Diverse studies on Differential Object Marking (DOM) explained most occurrences of pe as a case marker by means of the features animacy, definiteness, and specificity. The only cases left unexplained are those in which a direct object realized as an u...

Indefinite kernel machines have attracted more and more interests in machine learning due to their better empirical classification performance than the common positive definite kernel machines in many applications. A key to implement effective kernel machine is how to use prior knowledge as sufficiently as possible to guide the appropriate construction of the kernels. However, most of existing ...

The fact that in Romanian a direct object is sometimes morphologically marked by the particle pe and sometimes not is a long attested phenomenon. Diverse studies on Differential Object Marking (DOM) explained most occurrences of pe as a case marker by means of the features animacy, definiteness, and specificity. The only cases left unexplained are those in which a direct object realized as an u...

Support vector machines (SVM) and kernel methods have been highly successful in many application areas. However, the requirement that the kernel is symmetric positive semidefinite, Mercer’s condition, is not always verified in practice. When it is not, the kernel is called indefinite. Various heuristics and specialized methods have been proposed to address indefinite kernels, from simple tricks...

Multiple kernel learning for feature selection (MKLFS) utilizes kernels to explore complex properties of features and performs better in embedded methods. However, the kernels in MKL-FS are generally limited to be positive definite. In fact, indefinite kernels often emerge in actual applications and can achieve better empirical performance. But due to the non-convexity of indefinite kernels, ex...

In this paper, we study the geometry of half lightlike submanifolds of an indefinite Sasakian manifold. There are several different types of half lightlike submanifolds of an indefinite Sasakian manifold according to the form of its structure vector field. We study two types of them here: tangential and ascreen half lightlike submanifolds.