Results 41 to 50 of about 1,257,085 (204)

The Dopaminergic Midbrain Encodes the Expected Certainty about Desired Outcomes [PDF]

, 2014
Dopamine plays a key role in learning; however, its exact function in decision making and choice remains unclear. Recently, we proposed a generic model based on active (Bayesian) inference wherein dopamine encodes the precision of beliefs about optimal ...
Dolan, Ray, FitzGerald, Thomas H B, Friston, Karl, Mathys, Christoph, Schwartenbeck, Philipp   +4 more
core   +2 more sources

Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation

, 2020
The rapid proliferation of new users and items on the social web has aggravated the gray-sheep user/long-tail item challenge in recommender systems.
Bendre, Mangesh, Das, Mahashweta, Krishnan, Adit, Sundaram, Hari, Yang, Hao   +4 more
core   +1 more source

VLMs using language-guided inference capture context-sensitivity of human object recognition behavior

Array
Human vision is a context-sensitive process that interprets objects in relation to their surroundings. While behavioral research has long shown that scene context facilitates object recognition, the underlying computational mechanisms—and the extent to ...
Karim Rajaei, Radoslaw Martin Cichy, Hamid Soltanian-Zadeh   +2 more
doaj   +1 more source

Deep Joint Entity Disambiguation with Local Neural Attention

, 2017
We propose a novel deep learning model for joint document-level entity disambiguation, which leverages learned neural representations. Key components are entity embeddings, a neural attention mechanism over local context windows, and a differentiable ...
Ganea, Octavian-Eugen, Hofmann, Thomas
core   +1 more source

Representationalism and Enactivism in Cognitive Translation Studies: A Predictive Processing Perspective

Information
Representational Theories of Mind have long dominated Cognitive Translation Studies, typically assuming that translation involves the manipulation of internal representations (symbols) that stand in for external states of affairs.
Michael Carl
doaj   +1 more source

Memory Networks [PDF]

, 2015
We describe a new class of learning models called memory networks. Memory networks reason with inference components combined with a long-term memory component; they learn how to use these jointly. The long-term memory can be read and written to, with the
Bordes, Antoine, Chopra, Sumit, Weston, Jason   +2 more
core  

Practice-oriented controversies and borrowed epistemic credibility in current evolutionary biology: phylogeography as a case study [PDF]

, 2013
Although there is increasing recognition that theory and practice in science are intimately intertwined, philosophy of science perspectives on scientific controversies have been historically focused on theory rather than practice.
Arroyo-Santos, Alfonso, Olson, Mark E., Vergara-Silva, Francisco   +2 more
core   +3 more sources

Arbitrage, market definition and monitoring a time series approach [PDF]

, 2012
This article considers the application to regional price data of time series methods to test stationarity, multivariate cointegration and exogeneity.
Burke, S, Hunter, J
core   +1 more source

Efficient Machine Reading Comprehension for Health Care Applications: Algorithm Development and Validation of a Context Extraction Approach

JMIR Formative Research
BackgroundExtractive methods for machine reading comprehension (MRC) tasks have achieved comparable or better accuracy than human performance on benchmark data sets.
Duy-Anh Nguyen, Minyi Li, Gavin Lambert, Ryszard Kowalczyk, Rachael McDonald, Quoc Bao Vo   +5 more
doaj   +1 more source

On-Device Deep Learning Inference for Efficient Activity Data Collection

Sensors, 2019
Labeling activity data is a central part of the design and evaluation of human activity recognition systems. The performance of the systems greatly depends on the quantity and “quality” of annotations; therefore, it is inevitable to rely on ...
Nattaya Mairittha, Tittaya Mairittha, Sozo Inoue   +2 more
doaj   +1 more source