Results 91 to 100 of about 1,895,431 (338)

The Theory and Algorithm of Ergodic Inference [PDF]

open access: yesarXiv, 2018
Approximate inference algorithm is one of the fundamental research fields in machine learning. The two dominant theoretical inference frameworks in machine learning are variational inference (VI) and Markov chain Monte Carlo (MCMC). However, because of the fundamental limitation in the theory, it is very challenging to improve existing VI and MCMC ...
arxiv  

Escape from TGF‐β‐induced senescence promotes aggressive hallmarks in epithelial hepatocellular carcinoma cells

open access: yesMolecular Oncology, EarlyView.
Chronic TGF‐β exposure drives epithelial HCC cells from a senescent state to a TGF‐β resistant mesenchymal phenotype. This transition is characterized by the loss of Smad3‐mediated signaling, escape from senescence, enhanced invasiveness and metastatic potential, and upregulation of key resistance modulators such as MARK1 and GRM8, ultimately promoting
Minenur Kalyoncu   +11 more
wiley   +1 more source

AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms [PDF]

open access: yesarXiv, 2017
Approximate probabilistic inference algorithms are central to many fields. Examples include sequential Monte Carlo inference in robotics, variational inference in machine learning, and Markov chain Monte Carlo inference in statistics. A key problem faced by practitioners is measuring the accuracy of an approximate inference algorithm on a specific data
arxiv  

ShcD adaptor protein drives invasion of triple negative breast cancer cells by aberrant activation of EGFR signaling

open access: yesMolecular Oncology, EarlyView.
We identified adaptor protein ShcD as upregulated in triple‐negative breast cancer and found its expression to be correlated with reduced patient survival and increased invasion in cell models. Using a proteomic screen, we identified novel ShcD binding partners involved in EGFR signaling pathways.
Hayley R. Lau   +11 more
wiley   +1 more source

Learning Inference Models for Computer Vision [PDF]

open access: yes, 2017
Computer vision can be understood as the ability to perform inference on image data. Breakthroughs in computer vision technology are often marked by advances in inference techniques. This thesis proposes novel inference schemes and demonstrates applications in computer vision.
arxiv   +1 more source

Time, the final frontier

open access: yesMolecular Oncology, EarlyView.
This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time.
Gautier Follain   +3 more
wiley   +1 more source

Inference Claims

open access: yesInformal Logic, 2011
A conclusion follows from given premisses if and only if an acceptable counterfactual-supporting covering generalization of the argument rules out, either definitively or with some modal qualification, simultaneous acceptability of the premisses and non-accepta-bility of the conclusion, even though it does not rule out acceptability of the premisses ...
openaire   +4 more sources

Interplay of integrins and selectins in metastasis

open access: yesMolecular Oncology, EarlyView.
Here we review the role of integrins and their interplay with selectins in metastasis. The efficacy of integrin‐targeted therapies may be reduced in tumors where metastasis relies heavily on selectins. In certain tumors, integrins and selectins exhibit a synergistic interaction during intraperitoneal dissemination.
Diana Maltseva   +2 more
wiley   +1 more source

Type Inference for Guarded Recursive Data Types [PDF]

open access: yesarXiv, 2005
We consider type inference for guarded recursive data types (GRDTs) -- a recent generalization of algebraic data types. We reduce type inference for GRDTs to unification under a mixed prefix. Thus, we obtain efficient type inference. Inference is incomplete because the set of type constraints allowed to appear in the type system is only a subset of ...
arxiv  

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation

open access: yesMolecular Oncology, EarlyView.
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani   +14 more
wiley   +1 more source

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