Polymorphism-aware phylogenetic models
Reversible polymorphism aware phylogenetic models and their application to tree inference
... The introduction of reversibility slightly increases the error in tree inference for some scenarios that have been examined but greatly improves runtimes up to a factor of 50. This allows the reconstruction of ...
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Quantifying GC-Biased Gene Conversion in Great Ape Genomes Using Polymorphism-Aware Models
... The idea that gBGC may distort the reconstructed evolu- tionary process comes mainly from phylogenetic studies. For example, it is hypothesized that gBGC may promote substi- tution saturation (Romiguier and Roux ...
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Polymorphism aware species trees with advanced mutation models, bootstrap and rate heterogeneity
... a polymorphism-aware phylogenetic model (PoMo), which overcomes this limitation and scales well with the increasing amount of sequence data whereas accounting for present and ancestral ...
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Uncertainty aware generative models for inferring document class prevalence
... An interesting extension to ACC is to remove the need for a discriminative classifier, by directly modeling text conditional on the latent document class. The ReadMe algorithm, developed in po- litical science (Hopkins ...
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Comprehensive parametric polymorphism : categorical models and type theory
... The results of the present paper should be contrasted with those of other recent work by first two authors and colleagues [9,10]. In this paper, we have axiomatised category-theoretic structure modelling relational ...
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Mining User Models for Effective Adaptation of Context aware Applications
... Existing context-aware applications commonly adapt to changing context using rules or Machine Learning (ML) techniques. Some also adapt based on historical information. However, each approach has their limitations ...
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Detecting Online Hate Speech Using Context Aware Models
... net models containing separate learning components that model compositional meanings of context ...ensemble models of the two types of ...regression models and neural net models outperform ...
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Spatial models for context-aware indoor navigation systems: A survey
... Although previous approaches consider an indoor space at a more abstract level and so have a more compact representation, they appear to be badly-suited to context-aware nav- igation services since interactions at ...
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Phylogenic Multi Lingual Dependency Parsing
... average, phylogenetic training improves parsing accuracy, both labeled and ...without phylogenetic initialization and that every sentence will be seen several times both at train- ing and validation, the ...
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Sense Aware Neural Models for Pun Location in Texts
... In order to address this challenging task and improve the state-of-the-art results, we propose a sense-aware neural model in this study. Our model first obtains several WSD (Word Sense Disam- biguation) results ...
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Automated Essay Scoring with Discourse Aware Neural Models
... In the context of large scale testing and online learning systems, automated essay scoring (AES) is an important problem. There has been work on both improving the performance of these systems and on validity studies ...
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Associations of NQO1 C609T and NQO1 C465T polymorphisms with acute leukemia risk: a PRISMA-compliant meta-analysis
... The medical literature on associations between the AL risk and the NQO1 C609T and NQO1 C465T polymorphisms that was published before February 2016 was searched in the PubMed, EMBASE, CNKI, and Wanfang electronic ...
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Scalable Syntax Aware Language Models Using Knowledge Distillation
... 2016, RNNGs). RNNGs have been shown to suc- cessfully capture non-local syntactic dependencies (Kuncoro et al., 2018), achieve excellent parsing performance (Kuncoro et al., 2017; Fried et al., 2017), and correlate well ...
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It disambiguation and source aware language models for cross lingual pronoun prediction
... The pronoun prediction part of our models is based on an n-gram model over target lemmas similar to the official shared task baseline. In ad- dition to the pure target lemma context, our model also has access to ...
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Genotyping Schemes for Polyomavirus BK, Using Gene-Specific Phylogenetic Trees and Single Nucleotide Polymorphism Analysis
... Phylogenetic analyses of VP1 sequences. All major subtypes seen on whole-genome analyses were confirmed in phyloge- netic trees constructed with the complete VP1 gene (Fig. 2). However, lower bootstrap separation ...
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Probabilistic analysis of QoS aware service composition with Explicit Environment Models
... To address these issues, in this paper, we propose a parametric Markov decision process based approach to support the analysis of QoS-aware service composition. Apart from modelling web services and their composi- ...
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Knowledge Aware and Culturally Sensitive SIR Models for Infectious Disease Spread
... Epidemiology is a science that provides health professionals information on risk assessment which is vital in decision making during a epidemic spread. It ranges from infectious diseases to other aspects of health care. ...
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Robots with internal models: A route to self aware and hence safer robots
... Consider the scenario illustrated in Fig. 1.3. Here there are two actors: our self-aware robot and a human. The environment also contains a hole in the ground, of sufficient size and depth that it poses a serious ...
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Investigation of sympatric speciation as the outcome of competition for food resource by means of an individual-based modeling approach
... Darwin (1859) successfully developed the concept that natural selection could eventually lead to species divergence. Sympatric speciation had been widely accepted by scientists until the early 1960’s when it became a ...
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Baseline Models for Pronoun Prediction and Pronoun Aware Translation
... classification models based on max- imum entropy models, averaged perceptrons (using MegaM (Daum´e III, 2004)) and linear SVMs (us- ing liblinear (Fan et ...
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