Abstract Gerhard Schurz claims to have a solution Hume’s problem of induction based on results from machine learning concerning meta-induction. His argument has two steps. The first is establish justification for following certain meta-inductive strategy its predictive optimality. second step show how this can be transferred object-induction. I unpack the and fail find convincing supporting tra...

cd40 is recognized as a member of tumor necrosis factor receptor super family. it is expressed by the immune and non-immune cells. its interaction with cd40 ligand (cd154) brings about  a regulatory effect on  the cellular and humoral immunity. the pathway of cd40-cd154 is influential in various diseases. investigations on such diseases have revealed dimensional mechanisms whereby this route in...

We provide a unified epistemic analysis of some forward-induction solution concepts in games with complete and incomplete information. We suggest that forward induction reasoning may be usefully interpreted as a set of assumptions governing the players’ belief revision processes, and define a notion of strong belief to formalize these assumptions. Building on the notion of strong belief, we pro...

We describe the grammar induction system for Spoken Dialogue Systems (SDS) submitted to SemEval’14: Task 2. A statistical model is trained with a rich feature set and used for the selection of candidate rule fragments. Posterior probabilities produced by the fragment selection model are fused with estimates of phraselevel similarity based on lexical and contextual information. Domain and langua...

Given a timed regular expression and a dense-time Boolean signal we compute the set of all matches of the expression in the signal, that is, the set of all segments of the signal that satisfy the regular expression. The set of matches is viewed as a set of points in a two-dimensional space with each point indicating the beginning and end of a matching segment on the real time axis. Our procedur...

This paper is concerned with alleviating the choice of learning biases via a two-step process: ? The set of all hypotheses that are consistent with the data and cover at least one training example, is given an implicit characterization of polynomial complexity. The only bias governing this induction phase is that of the language of hypotheses. ? Classiication of further examples is done via int...

We develop a general logic-independent structural induction proof method at the level of abstract institutions. This provides a solid and uniform mathematical foundations to induction proof methodologies for a wide variety of actual logic-based formal specification frameworks. Our development is based technically upon an axiomatic approach to substitutions within institution theory.