Latent structure
Latent Structure Linear Regression
... validate latent structure ...of latent structure linear regression is ...the latent structure methods much more quickly arrive at the final solution than forward variable ...
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Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution
... the structure perceptron is an online algo- rithm that iterates through the training ...The latent structure perceptron performs an additional step to predict the latent ground truth ˜ h using ...
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Latent Structure Models for Natural Language Processing
... Latent structure models are a powerful tool for modeling compositional data, discovering linguis- tic structure, and building NLP pipelines (Smith, ...linguistic structure is often hidden from ...
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A Hierarchical Latent Structure for Variational Conversation Modeling
... ignore latent variables and reduce to vanilla ...the latent variables. Second, the conditional VAE structure whose generation process is conditioned on a context, makes the range of training targets ...
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A comparison of different approaches to unravel the latent structure within metabolic syndrome.
... factor structure and so this will form the basis of our EFA model ...‘simple structure’ with ‘blood pressure’ and ‘lipid’ factors clearly defined as factors 3 and 4 respectively (see table ...
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Discovering Latent Structure in Task Oriented Dialogues
... discover latent struc- ture in task-oriented dialogue, since it pro- vides a basis for analysing, evaluating, and building conversational ...discover latent structures in task-oriented ...
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Fine Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning
... syntactic structure. Our remedy in this paper is a su- pervised approach. We simply imitate how linguists have analyzed other languages. This supervised ob- jective goes beyond the log-likelihood of a PCFG- like ...
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A Rotation Test to Verify Latent Structure
... a latent variable in corre- lated Gaussian noise, the eigenvectors of the covariance matrix ...no latent variable, random rotations don’t change the distribution of our test ...
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Fairness, Procedural Fairness and Social Norms
... The aim of this study was to adapted tax compliance intentions, general fairness, procedural fairness and social norms’ four sub-scales for Turkish literature by using confirmatory factor analysis. The reliabilities of ...
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Deep Recurrent Generative Decoder for Abstractive Text Summarization
... the latent structure information of summaries into the ab- stractive summarization model, it will improve the quality of the generated ...the latent structure information of summaries in their ...
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A Bifactor Model of the Polish Version of the Hare Self Report Psychopathy Scale
... competing latent models of the PCL-R including a bifactorial ...the latent structure of psychopathy using the PCL-R, with the inclusion of the bifactor model suggested by Patrick et ...
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A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text
... sequential structure from a col- lection of text ...extract latent discourse trajectories in the ...and latent structure of the grid are learned by optimizing the likelihood of a collection of ...
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Learning the Structure of Linear Latent Variable Models
... the latent variables. Assuming only multiple indicator structure and principles standard in Bayes net search algorithms, principles as- sumed satisfied in many domains, especially in the social sciences, ...
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Embedded State Latent Conditional Random Fields for Sequence Labeling
... augmented latent space of inference variables complements the rich feature representation of the RNN, and allows exact global infer- ence obeying complex, learned non-local out- put ...
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An Element of the Tertiary Structure of Peach Latent Mosaic Viroid RNA Revealed by UV Irradiation
... Peach latent mosaic viroid (PLMVd) (20)—which belongs to the family of chloroplastic viroids (Avsunviroidae) lacking a CCR but endowed with self-cleavage through hammerhead ribozymes embedded in the strands of ...
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Latent Fingerprint Indexing and Segmentation Techniques
... the latent form and fingerprint extraction from rolled and rough surfaces is a challenging task and there is every possibility of human error therefore rigorous study has been made and ample of methods has been ...
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Decomposing the heterogeneity of depression at the person-, symptom-, and time-level: latent variable models versus multimode principal component analysis
... LVs, latent subgroups of depression can be discerned based on their item responses ...a latent class model (LCM) is ...a latent profile model (LPM) is used ...
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Discriminative Deep Random Walk for Network Classification
... the latent em- beddings of entities discovered by ...cal structure of the network. A visualization of the topological structure in a social space is showed in Figure ...neighborhood structure ...
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The human myostatin precursor protein : structure, function and amyloid formation : implications for the muscle wastage disease sporadic inclusion body myositis : a dissertation presented in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biochemistry at Massey University, Palmerston North, New Zealand
... the latent myostatin complex expressed in a mammalian system presented non-reducing SDS-PAGE and anti-myostatin Western blot data that also shows a band of approximately 70 kDa (Wolfman, McPherron et ...
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Towards Controllable and Personalized Review Generation
... The self-attentive recursive autoencoder is imple- mented by bidirectional GRUs with embedding dimension 300. GRU parameters and word em- beddings are initialized from a uniform distribu- tion between [-0.1,0.1]. The ...
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