Výsledky vyhledávání - "Vincent Graziano"

Artificial curiosity with planning for autonomous perceptual and cognitive development

Autor: Matthew Luciw, Vincent Graziano, Mark Ring, Jürgen Schmidhuber

Publikováno v: ICDL-EPIROB

Autonomous agents that learn from reward on high-dimensional visual observations must learn to simplify the raw observations in both space (i.e., dimensionality reduction) and time (i.e., prediction), so that reinforcement learning becomes tractable

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c7835ee61a5b4180405c53b8cda7c27
https://doi.org/10.1109/devlrn.2011.6037356

Zobrazit plný text záznamu

Coherence Progress: A Measure of Interestingness Based on Fixed Compressors

Autor: Vincent Graziano, Jürgen Schmidhuber, Tobias Glasmachers, Tom Schaul, Leo Pape

Publikováno v: Artificial General Intelligence ISBN: 9783642228865
AGI

The ability to identify novel patterns in observations is an essential aspect of intelligence. In a computational framework, the notion of a pattern can be formalized as a program that uses regularities in observations to store them in a compact form

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e620167b3bf727d984862054ef8d6748
https://doi.org/10.1007/978-3-642-22887-2_3

Zobrazit plný text záznamu

Unsupervised Modeling of Partially Observable Environments

Autor: Vincent Graziano, Jürgen Schmidhuber, Jan Koutník

Publikováno v: Machine Learning and Knowledge Discovery in Databases ISBN: 9783642237799
ECML/PKDD (1)

We present an architecture based on self-organizing maps for learning a sensory layer in a learning system. The architecture, temporal network for transitions (TNT), enjoys the freedoms of unsupervised learning, works on-line, in non-episodic environ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c7f1c30ae8450b8313c59a873519992e
https://doi.org/10.1007/978-3-642-23780-5_42

Zobrazit plný text záznamu

Sequential Constant Size Compressors for Reinforcement Learning

Autor: Jürgen Schmidhuber, Linus Gisslén, Matthew Luciw, Vincent Graziano

Publikováno v: Artificial General Intelligence ISBN: 9783642228865
AGI

Traditional Reinforcement Learning methods are insufficient for AGIs who must be able to learn to deal with Partially Observable Markov Decision Processes. We investigate a novel method for dealing with this problem: standard RL techniques using as i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2ba03b46484617891635eb7d0d8d340
https://doi.org/10.1007/978-3-642-22887-2_4

Zobrazit plný text záznamu

Demonstration of a perihepatic abscess communicating with a fistula from the small bowel on hepatobiliary imaging

Autor: Vincent Graziano, Joel H. Horovitz, Matthew D. Geller, Perry S. Gerard, Howard Finestone

Publikováno v: Clinical nuclear medicine. 33(5)

Abscess formation after abdominal surgery is not an uncommon complication. It is much less common for a collection to be the result of a fistulous tract from the bowel. We describe a patient who underwent a Tc-99m hepatobiliary (Choletec) scan for th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2334307a6065e304b85b79b654f8fdfe
https://pubmed.ncbi.nlm.nih.gov/18431159

Zobrazit plný text záznamu

Effect of maximal endometrial thickness on outcome after frozen embryo transfer

Autor: D. Lurie, Vincent Graziano, Jung K. Choe, C. Dietterich, Jerome H. Check

Publikováno v: Fertility and sterility. 81(5)

The largest study to date on the association of endometrial thickness and subsequent pregnancy rates following frozen embryo transfer with the endometrium prepared by estrogen and progesterone found no improved or adverse outcome if the endometrial t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::544704a2958034f86f2f7e5a5b24a597
https://pubmed.ncbi.nlm.nih.gov/15136111

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání