18 papers · ranked by Valyu relevance
Musfiqur Sazal, Kalai Mathee, Daniel Ruiz-Perez, Trevor Cickovski + 1 more
Microbe-microbe and host-microbe interactions in a microbiome play a vital role in both health and disease. However, the structure of the microbial community and the colonization patterns are highly complex to infer even under controlled wet laboratory conditions. In this study, we investigate what information, if any…
Grigoriy Gogoshin, Andrei S Rodin
Bayesian network (BN) structure learning (BNSL) from heterogeneous data is a classical problem in probabilistic machine learning and knowledge discovery. A variety of computational methods exist for score-based BNSL, but all inherit limitations imposed by the underlying model selection paradigms. With finite, often…
Britta Grusdt, Daniel Lassiter, Michael Franke
While a large body of work has scrutinized the meaning of conditional sentences, considerably less attention has been paid to formal models of their pragmatic use and interpretation. Here, we take a probabilistic approach to pragmatic reasoning about indicative conditionals which flexibly integrates gradient beliefs…
Hu Jun, Xianggui Qu
In this article we provide a substantial discussion on the statistical concept of conditional independence, which is not routinely mentioned in most elementary statistics and mathematical statistics textbooks. Under the assumption of conditional independence, an extended version of Bayes' Theorem is then proposed with…
Sainyam Galhotra, Joseph Y. Halpern
Causal models are crucial for understanding complex systems and identifying causal relationships among variables. Even though causal models are extremely popular, conditional probability calculation of formulas involving interventions pose significant challenges. In case of Causal Bayesian Networks (CBNs), Pearl…
Emilio Salinas, Terrence R. Stanford, Nicholas V Swindale
Intuitively, combining multiple sources of evidence should lead to more accurate decisions than considering single sources of evidence individually. In practice, however, the proper computation may be difficult, or may require additional data that are inaccessible. Here, based on the concept of conditional…
Takashi Morita, Hiroki Koda, Kazuo Okanoya, Ryosuke O. Tachibana + 1 more
'Frédéric E. Theunissen'] Context dependency is a key feature in sequential structures of human language, which requires reference between words far apart in the produced sequence. Assessing how long the past context has an effect on the current status provides crucial information to understand the mechanism for…
Aadesh Gupta, Kaustubh Dhole, Rahul Tarway, Swetha Prabhakar + 1 more
'Ashish Shrivastava'] Domain specific dialogue systems generally determine user intents by relying on sentencelevel classifiers which mainly focus on single action sentences. Such classifiers are not designed to effectively handle complex queries composed of conditional and sequential clauses that represent multiple…
Avi Pfeffer
Suppose we are given the conditional probability of one variable given some other variables. Normally the full joint distribution over the conditioning variables is required to determine the probability of the conditioned variable. Under what circumstances are the marginal distributions over the conditioning variables…
Didier Dubois, Luís Fariñas del Cerro, Andreas Herzig, Henri Prade
An ordinal view of independence is studied in the framework of possibility theory. We investigate three possible definitions of dependence, of increasing strength. One of them is the counterpart to the multiplication law in probability theory, and the two others are based on the notion of conditional possibility. These…
Shuji Shinohara, Nobuhito Manome, Kouta Suzuki, Ung-il Chung + 4 more
In this study, we start by proposing a causal induction model that incorporates symmetry bias. This model has two parameters that control the strength of symmetry bias and includes conditional probability and conventional models of causal induction as special cases. It can reproduce causal induction of human judgment…
Mingya Liu, Mathias Barthel
In this paper, the meaning and processing of the German conditional connectives (CCs) such as wenn ‘if’ and nur wenn ‘only if’ are investigated. In Experiment 1, participants read short scenarios containing a conditional sentence (i.e., If P, Q.) with wenn/nur wenn ‘if/only if’ and a confirmed or negated antecedent…
Juliane Schwab, Mingya Liu
Both indicative and counterfactual conditionals are known to be licensing contexts for negative polarity items (NPIs). However, a recent theoretical account suggests that the licensing of attenuating NPIs like English all that in the conditional antecedent is sensitive to pragmatic differences between various types of…
Qingyang Zhang, Xuan Shi
Gaussian Bayesian networks have become a widely used framework to estimate directed associations between joint Gaussian variables, where the network structure encodes decomposition of multivariate normal density into local terms. However, the resulting estimates can be inaccurate when normality assumption is moderately…
Benjamin Wilson, Michelle Spierings, Andrea Ravignani, Jutta L. Mueller + 5 more
'Jutta L. Mueller' 'Toben H. Mintz' 'Frank Wijnen' 'Anne van der Kant' 'Kenny Smith' 'Arnaud Rey'] Title: Abstract Learning and processing natural language requires the ability to track syntactic relationships between words and phrases in a sentence, which are often separated by intervening material. These nonadjacent…
Luke T Slater, William Bradlow, Dino FA Motti, Robert Hoehndorf + 2 more
Negation detection is an important task in biomedical text mining. Particularly in clinical settings, it is of critical importance to determine whether findings mentioned in text are present or absent. Rule-based negation detection algorithms are a common approach to the task, and more recent investigations have…
Bharat Ram Ambati, Tejaswini Deoskar, Mark Steedman
In this paper, we present an approach for automatically creating a combinatory categorial grammar (CCG) treebank from a dependency treebank for the subject-object-verb language Hindi. Rather than a direct conversion from dependency trees to CCG trees, we propose a two stage approach: a language independent generic…
Sara Giarrusso, Paola Gori-Giorgi, Federica Agostini
We generalize the definitions of local scalar potentials named vkin and vN−1, which are relevant to properly describe phenomena such as molecular dissociation with density-functional theory, to the case in which the electronic wavefunction corresponds to a complex current-carrying state. In such a case, an extra term…