In this work, we consider an economic model of how individuals respond to a classification algorithm, focusing on settings where each individual desires a positive classification (in other words, a positive reward). This includes many important applications, such as hiring and schoo...
genetic algorithminput vector controllow power VLSIAs a result of continuous scaling of transistors, negative bias temperature instability (NBTI) has become a serious reliability concern which causes the device to degrade over its lifetime. Similarly, leakage power also remains a key issue in deep ...
Another person watching her do it might also conclude that she is performing the correct gesture. But, for whatever reason, the recognizer does not detect it as the correct gesture. An astute designer might ask, “What are the other gestures in the system, and how likely is it that ...
Similar to quasi-GLMs [47] and GLMMs [44–46], the above IWLS algorithm for fitting the NBMMs introduces an additional parameter σ2, which can correct for over-dispersion to some extent even if θ is not well estimated. Therefore, our approach can be robust and efficient to deal with ...
The functional data underwent de-spiking to smooth outliers in each voxel using AFNI’s52 3dDespike, rigid transformation to correct for head motion using FSL’s53 MCFLIRT, and slice-time correction using FSL Slicetimer to control for temporal differences in the order of the acquisition of the ...
1.1.3 Bias in Microlevel Status Judgments: Defining the Δ Function Contrary to expected value formulations in which gains and losses are treated equivalently, team members are generally considered to be loss aversive. That is, they will generally “pay” more to avoid a loss with a given like...
Theoretical and empirical studies of the cultural evolution in technology have often focused on positive observational learning, i.e., copying a successful individual. However, negative observational learning, i.e., avoiding negative or bad exemplar beha
Performance of our new parsimony algorithm The new neutrality tests as described in this paper depend on a new parsimony algorithm that we developed to map mutation events on the sequence genealogy. Therefore, we first compared the new parsimony algorithm with traditional tree reconstruction algorithms...
(\tau < .05\)) the correlation was overestimated. The bias was larger when the correlation was very small positive or negative. However, for a positive correlation within groups larger than .05, the LME model gave correct estimates, which validates the accuracy of the LME for clustered data...
Those genes that were significantly correlated with fate were determined using linear regression analysis (STAR Methods; Table S1) and then refined using the glmnet algorithm and removal of ribosomal and mitochondrial genes (STAR Methods; Table S2). 613 genes were identified whose expression was ...