Many languages allow for ”fake” uses of their past tense marker: the marker can occur in certain contexts without conveying temporal pastness. Instead it appears to bear a modal meaning. Iatridou [2000] has coined this phenomenon Fake Tense. Fake Tense is particularly common to conditional construction. This paper proposes to explain Fake Tense in English conditional sentences as a certain kind...

Compounds of indicative conditionals present some puzzling phenomena. Perhaps most striking, some nested indicative conditionals are uninterpretable. Proponents of NTV hold that indicative conditionals do not have truth values, and they use this to explain why nested indicative conditionals are sometimes uninterpretable: the embedded conditional does not provide the truth conditions needed by t...

Information assurance applications built according to the MILS (Multiple Independent Levels of Security) architecture often contain information flow policies that are conditional in the sense that data is allowed to flow between system components only when the system satisfies certain state predicates. However, existing specification and verification environments, such as SPARK Ada, used to dev...

The state-space modeling of partially observed dynamic systems generally requires estimates of unknown parameters. From a practical point of view, it is relevant in such filtering contexts to simultaneously estimate the unknown states and parameters. Efficient simulation-based methods using convolution particle filters are proposed. The regularization properties of these filters is well suited,...

The Rényi entropy is a generalization of Shannon entropy to a one-parameter family of entropies. Tsallis entropy too is a generalization of Shannon entropy. The measure for Tsallis entropy is non-logarithmic. After the introduction of Shannon entropy , the conditional Shannon entropy was derived and its properties became known. Also, for Tsallis entropy, the conditional entropy was introduced a...

The notion of a conditional linear predictor is used as a distributionfree method for eliminating the individual-specific effects in a class of nonlinear, unobserved components panel data models. The methodology is applied to a general count model, which allows for individual dispersion in addition to an individual mean effect. As a corollary of the general results, the multinomial quasi-condit...

Context modeling is an extensively studied paradigm for lossless compression of continuous-tone images. However, without careful algorithm design, high-order Markovian modeling of continuous-tone images is too expensive in both computational time and space to be practical. Furthermore, the exponential growth of the number of modeling states in the order of a Markov model can quickly lead to the...

UNLABELLED How the integrity of laminar structures in the postnatal brain is maintained impacts neuronal functions. Ndel1, the mammalian homolog of NuDE from the filamentous fungus Aspergillus nidulans, is an atypical microtubule (MT)-associated protein that was initially investigated in the contexts of neurogenesis and neuronal migration. Constitutive knock-out mice for Ndel1 are embryonic let...

The high level optimizations are becoming more and more sophisticated, the importance of low level optimizations should not be underestimated. Due to the changes in the inner architecture of modern processors, some optimization techniques may become more or less effective. Existing techniques need, from time to time, to be reconsidered, and new techniques, targeting these modern architectures, ...

This paper describes a Bayesian language model for predicting spontaneous utterances. People sometimes say unexpected words, such as fillers or hesitations, that cause the miss-prediction of words in normal N-gram models. Our proposed model considers mixtures of possible segmental contexts, that is, a kind of context-word selection. It can reduce negative effects caused by unexpected words beca...