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2,841
A fast learning algorithm for deep belief nets
- Neural Computation
, 2006
"... We show how to use “complementary priors ” to eliminate the explaining away effects that make inference difficult in densely-connected belief nets that have many hidden layers. Using complementary priors, we derive a fast, greedy algorithm that can learn deep, directed belief networks one layer at a ..."
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Cited by 970 (49 self)
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at a time, provided the top two layers form an undirected associative memory. The fast, greedy algorithm is used to initialize a slower learning procedure that fine-tunes the weights using a contrastive version of the wake-sleep algorithm. After fine-tuning, a network with three hidden layers forms a
Loopy belief propagation for approximate inference: An empirical study. In:
- Proceedings of Uncertainty in AI,
, 1999
"... Abstract Recently, researchers have demonstrated that "loopy belief propagation" -the use of Pearl's polytree algorithm in a Bayesian network with loops -can perform well in the context of error-correcting codes. The most dramatic instance of this is the near Shannon-limit performanc ..."
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Cited by 676 (15 self)
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and ap proximately 4000 findin nodes, with a number of ob served findings that varies per case. Due to the form of the noisy-or CPTs the complexity of inference is ex ponential in the number of positive findings Results Initial experiments The experimental protocol for the PYRAMID network was as follows
i-LAND: An interactive Landscape for Creativity and Innovation
- CHI'99
, 1999
"... We describe the i-LAND environment which constitutes an example of our vision of the workspaces of the future, in this case supporting cooperative work of dynamic teams with changing needs. i-LAND requires and provides new forms of human-computer interaction and new forms of computer-supported coope ..."
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Cited by 326 (9 self)
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We describe the i-LAND environment which constitutes an example of our vision of the workspaces of the future, in this case supporting cooperative work of dynamic teams with changing needs. i-LAND requires and provides new forms of human-computer interaction and new forms of computer
Tidal networks 3. Landscape-forming discharges and studies in empirical geomorphic relationships
- Water Resour. Res
, 1999
"... Abstract. In this final part of our study [Fagherazzi et al., this issue; Rinaldo et al., this issue] we propose a simple model for predicting the local peak ebb and flood discharges throughout a tidal network and use this model to investigate scaling relationships between channel morphology and dis ..."
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Cited by 31 (15 self)
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Abstract. In this final part of our study [Fagherazzi et al., this issue; Rinaldo et al., this issue] we propose a simple model for predicting the local peak ebb and flood discharges throughout a tidal network and use this model to investigate scaling relationships between channel morphology and discharge in the Venice Lagoon. The model assumes that the peak flows are driven by spring (astronomical) tidal fluctuations (rather than precipitation-induced runoff or seiche, sea surge, or storm-induced tidal currents) and exploits the procedure presented by Fagherazzi et al. [this issue] for delineating a time-invariant drainage area to any channel cross section. The discharge is estimated using the Fagherazzi et al. model to predict water surface topography, and hence flow directions throughout the channel network and across unchanneled regions, and the assumption of flow continuity. Water surface elevation adjustment, not assumed to be instantaneous throughout the network, is defined by a suitable solution of the flow equations where significant morphological information is used and is reduced to depending on just one parameter, the Chézy resistance coefficient. For the Venice Lagoon, peak discharges are well predicted by our model. We also document well-defined power law relationships between channel width and peak discharge, watershed area, and flow, whereas curved, nonscaling relationships were found for channel cross-sectional area as a function of peak discharge. Hence our model supports the use of a power law dependency of peak discharge with drainage area in the Venice Lagoon and provides a simple means to explore aspects of morphodynamic adjustments in tidal systems. 1.
Oudenaarden A. Growth landscape formed by perception and import of glucose
- in yeast. Nature. 2009 Dec; 462(7275):875–879. doi: 10.1038/nature08653 PMID: 20016593
"... An important challenge in systems biology is to quantitatively describe microbial growth using a few measurable parameters that capture the essence of this complex phenomenon. Two key events at the cell membrane – extracellular glucose sensing and uptake – initiate the budding yeast’s growth on gluc ..."
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Cited by 7 (0 self)
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An important challenge in systems biology is to quantitatively describe microbial growth using a few measurable parameters that capture the essence of this complex phenomenon. Two key events at the cell membrane – extracellular glucose sensing and uptake – initiate the budding yeast’s growth on glucose. However, conventional growth models focus almost exclusively on glucose uptake. Here we present results from growth-rate experiments that cannot be explained by focusing on glucose uptake alone. By imposing a glucose uptake rate independent of the sensed extracellular glucose level, we show that despite increasing both the sensed glucose concentration and uptake rate, the cell’s growth rate can decrease or even approach zero. We resolve this puzzle by showing that the interaction between glucose perception and import, not their individual actions, determines the central features of growth and characterize this interaction using a quantitative model. Disrupting this interaction by knocking out two key glucose sensors significantly changes the cell’s growth rate, yet uptake rates are unchanged. This is due to a decrease in burden that glucose perception places on the cells. Our work shows that glucose perception and import are separate and pivotal modules of yeast growth whose interplay can be
Landscape form and the millennial erosion rates in the Saint Gabriel Mountains,
- CA. Earth and Planetary Science Letters,
, 2010
"... It has been long hypothesized that topography, as well as climate and rock strength, exert first order controls on erosion rates. Here we use detrital cosmogenic 10 Be from 50 basins, ranging in size from 1 to 150 km 2 , to measure millennial erosion rates across the San Gabriel Mountains in south ..."
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Cited by 4 (1 self)
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in southern California, where a strong E-W gradient in relief compared to weak variation in precipitation and lithology allow us to isolate the relationship between topographic form and erosion rate. Our erosion rates range from 35 to 1100 m/Ma, and generally agree with both decadal sediment fluxes and long
Fundamental Environmental and Landscape Forming Influence of Close Grass Cenosis on the Moisture Circulation
"... The condensation of transpiration and advective water fallows (further—the phenomenon) under the close grass cenosis can be compared to the quantity of precipitation. The phenomenon depends on physi-cal and meteorological features of the closed grass cover. For instance, close grass cover halts a la ..."
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large part of solar radiation at the daytime. Effective emanation and turbulent exchange cool the soil to a dew point and lower. The phenomenon forms another landscape. There are also a number of other fundamental consequences of the phenomenon. Thus, biologolisation of farming and forestry: Growing
doi: 10.1038/nature08653 Supplementary Information SUPPLEMENTARY INFORMATION Growth landscape formed by perception and import of glucose in yeast
"... When the cell’s glucose uptake rate r is lower than rc, an increase in the extracellular glucose concentration causes two counteracting effects (Fig. 3b). First, since the Hxt is a passive transporter, it leads to an increased glucose uptake rate (which tends to increase the growth rate). Second, it ..."
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When the cell’s glucose uptake rate r is lower than rc, an increase in the extracellular glucose concentration causes two counteracting effects (Fig. 3b). First, since the Hxt is a passive transporter, it leads to an increased glucose uptake rate (which tends to increase the growth rate). Second, it causes the cell to perceive a higher amount of glucose (which tends to decrease the growth rate). This counteracting interaction between the two mechanisms – glucose perception and uptake – determines how the growth rate changes (i.e., whether it increases or decreases) as a result of an increase in the extracellular glucose level. The effect of this interaction on the growth rate is quantified byP(g)ln r ⎛⎛
CO2 in Arctic snow cover: Landscape form, in‐pack gas concentration gradients, and the implications for the estimation of gaseous fluxes, Hydrol
- Processes
, 1999
"... the implications for the estimation of gaseous fluxes ..."
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Cited by 2 (0 self)
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the implications for the estimation of gaseous fluxes
Results 1 - 10
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