Preventing feature co-adaptation by encouraging independent contributions from different features often improves classification and regression performance. Dropout training (Hinton et al., 2012) does this by randomly dropping out (zeroing) hidden units and input features during training of neural networks. However, repeatedly sampling a random subset of input features makes training much slower...

While MOOCs offer educational data at a new scale, many educators have been alarmed by their high dropout rates. Learners join a course with some motivation to persist for some or all of the course, but various factors, such as attrition or lack of satisfaction, can lead them to disengage or totally drop out. Educational interventions targeting such risk factors can help reduce dropout rates. H...

High school dropout is an important policy issue and its determinants are a longstanding interest of economics. However, very little is known on the roles of noncognitive traits in influencing school dropout decisions. We employ voluntary forgone health care as a proxy for the underlying noncognitive traits that may induce adolescents to dropout and estimate its effects on early school attritio...

OBJECTIVE To investigate mental health dropout rates in secondary care and to identify possible associations between this variable and social, demographic, psychopathologic, and health care process-related variables. METHOD This prospective, observational study included 994 patients referred to a secondary service by four primary care units and evaluated by a specialist mental health team bet...

OBJECTIVE High dropout rates from inpatient treatment for Anorexia Nervosa (AN) pose a serious obstacle to successful treatment. Because dropping out of inpatient treatment may have a negative impact on outcome, it is important to understand why dropout occurs so that treatment can be targeted toward keeping patients in care. We therefore conducted a critical literature review of studies on dro...

High performance circuits for power management and millimeter wave applications (May 2012) Ahmed Amer Chair of Advisory Committee: Edgar Sanchez-Sinencio The main focus of this work is to design and implement highly-efficient low-cost integrated circuits and systems for power management and millimeter wave applications. Novel system architectures and new circuit design techniques are introduced...

Title: CAUSAL INFERENCE WITH GROUPBASED TRAJECTORIES AND PROPENSITY SCORE MATCHING: IS HIGH SCHOOL DROPOUT A TURNING POINT? Gary Allen Sweeten, Ph.D., 2006 Dissertation directed by: Professor Shawn D. Bushway Department of Criminology and Criminal Justice Life course criminology focuses on trajectories of deviant or criminal behavior punctuated by turning point events that redirect trajectories...

A 3-5V 50mA CMOS low Drop-out (LDO) linear regulator with a single compensation capacitor of 1pF is presented. The circuit realization is well-studied and developed with respect to the loop-gain response, the transient response, the output noise, the output accuracy, as well as the standby power consumption. The proposed LDO regulator is implemented in the AMI 0.6um CMOS process, the active lay...

Transient response; Power supply rejection. Abstract—To realize DC voltage conversion from 3.3V to 1.8V for SoC application, a fully on-chip Low Drop-Out (LDO) voltage regulator with 150mA driving capability is presented. Implemented in 0.18μm CMOS technology, the proposed LDO voltage regulator utilizes paralleled input differential pairs and current amplifiers to provide fast transient respons...