Captain of tanker linked to Russian'shadow fleet' charged in France The captain of an oil tanker believed to be part of Russia's shadow fleet of vessels used to evade sanctions has been charged by French authorities. The Chinese national was handed one count of refusing to follow instructions from the French navy and told to attend a court hearing in the northern coastal city of Brest next February. The Boracay left Russia last month and was off the coast of Denmark when unidentified drones forced the temporary closure of several airports last week. The tanker was earlier boarded by French soldiers because it was on a list of vessels subject to EU sanctions for carrying Russian oil exports. Russian President Vladimir Putin called France's actions piracy.

Empirical risk minimization (ERM) is a fundamental learning rule for statistical learning problems where the data is generated according to some unknown distribution P and returns a hypothesis f chosen from a fixed class F with small loss null. In the parametric setting, depending upon (null, F, P) ERM can have slow (1 / n) or fast (1/n) rates of convergence of the excess risk as a function of the sample size n . There exist several results that give sufficient conditions for fast rates in terms of joint properties of null, F, and P, such as the margin condition and the Bernstein condition. In the non-statistical prediction with expert advice setting, there is an analogous slow and fast rate phenomenon, and it is entirely characterized in terms of the mixability of the loss null (there being no role there for F or P). The notion of stochastic mixability builds a bridge between these two models of learning, reducing to classical mixability in a special case. The present paper presents a direct proof of fast rates for ERM in terms of stochastic mixability of ( null, F, P), and in so doing provides new insight into the fast-rates phenomenon.

US military poised to seize ports and airfields in Venezuela as Trump strikes a fourth'narco-terrorist' boat Robert Griffin III involved in'scary' car crash with wife and kids as shocking photos emerge I'm no longer sleeping with my husband - and never will again, says MOLLY RYDDELL. I love him, but counted down the moments until he climaxed. Then I couldn't bear it any more and the truth spilled out... so many women feel the same Body count from Houston's bayous rises as serial killer whispers grip city and residents are told: 'Be vigilant' I was so happy after trying a trendy new cosmetic procedure. But 10 years later I suffered a devastating side effect... the doctor had lied His daughter was warped into an ultra-woke monster and set fire to his life. Now, GOP state senator Jay Block fights back... and reveals the dark secrets she was desperate to hide The'middle-class kinks' saving marriages: Wives reveal the eight buzzy sex trends that revived their lagging libidos - including the fantasy husbands are secretly obsessed with Lori Loughlin's husband Mossimo Giannulli seen with mystery brunette in tiny skirt day after shock split Realtor with expensive ex-wife arrested over shocking $11.6m claims about how he was funding Palm Beach lifestyle Trump dollar coin design released by Treasury... and it's inspired by the most iconic political photo of the century Fired CNN host Don Lemon's delivers expletive-filled rant at Megyn Kelly for comments about his husband Shroud of Turin mystery deepens as surgeon spots hidden detail that points to Jesus' resurrection Mystery deepens over Hulk Hogan's death as his widow faces fresh anguish Warning as pasta salad is recalled due to risk of'fatal infections' Food manufacturers are quietly turning to lab-engineered additives amid supply chain disruptions and ingredient shortages - and are passing on the higher costs to consumers.

Overall, federal records revealed that over 2.7 million background checks are conducted every month for various reasons, including job applications. This also means air travel will likely suffer this month because the FAA Pilot Record Database is delayed and new pilots cannot start flights. FBI criminal checks, as well as civil court record searches, are needed for nurses, aides, and therapists, to slow hospital onboarding. 'Shutdowns cause delays in court record updates and verification gaps, slowing credentialing and risking non-compliance with HIPAA or state mandates,' the cyber expert explained. Trucking and shipping companies will also feel the impact of the shutdown because commercial drivers must undergo mandated checks by the Drug and Alcohol Clearinghouse and Pre-Employment Screening Program (PSP), which depend on federal IT updates and audits.

Neural Information Processing Systems http://nips.cc/

Robert Griffin III involved in'scary' car crash with wife and kids as shocking photos emerge Shroud of Turin mystery deepens as surgeon spots hidden detail that points to Jesus' resurrection Body count from Houston's bayous rises as serial killer whispers grip city and residents are told: 'Be vigilant' I was so happy after trying a trendy new cosmetic procedure. But 10 years later I suffered a devastating side effect... the doctor had lied I'm no longer sleeping with my husband - and never will again, says MOLLY RYDDELL. I love him, but counted down the moments until he climaxed. Then I couldn't bear it any more and the truth spilled out... so many women feel the same The'middle-class kinks' saving marriages: Wives reveal the eight buzzy sex trends that revived their lagging libidos - including the fantasy husbands are secretly obsessed with I'm a woman with autism... here are the signs you might be masking, even from yourself Lori Loughlin's husband Mossimo Giannulli seen with mystery brunette in tiny skirt day after shock split Realtor with expensive ex-wife arrested over shocking $11.6m claims about how he was funding Palm Beach lifestyle Trump dollar coin design released by Treasury... and it's inspired by the most iconic political photo of the century Taylor Swift-superfan KENNEDY decodes the star's raunchiest album ever... and finds Easter eggs in the strangest places Mystery deepens over Hulk Hogan's death as his widow faces fresh anguish Warning as pasta salad is recalled due to risk of'fatal infections' It's not the dog, it's the owner: Vets confirm the heartbreaking reason why some pets are so aggressive READ MORE: Is YOUR dog a genius? Despite being referred to as'man's best friend', many dogs have an aggressive side.

Deep structured output learning shows great promise in tasks like semantic image segmentation. We proffer a new, efficient deep structured model learning scheme, in which we show how deep Convolutional Neural Networks (CNNs) can be used to directly estimate the messages in message passing inference for structured prediction with Conditional Random Fields (CRFs). With such CNN message estimators, we obviate the need to learn or evaluate potential functions for message calculation. This confers significant efficiency for learning, since otherwise when performing structured learning for a CRF with CNN potentials it is necessary to undertake expensive inference for every stochastic gradient iteration. The network output dimension of message estimators is the same as the number of classes, rather than exponentially growing in the order of the potentials. Hence it is more scalable for cases that involve a large number of classes. We apply our method to semantic image segmentation and achieve impressive performance, which demonstrates the effectiveness and usefulness of our CNN message learning method.

Diddy FUMBLES as he speaks in public for first time in 13 months and begs his mother's forgiveness through tears Robert Griffin III involved in'scary' car crash with wife and kids as shocking photos emerge Shroud of Turin mystery deepens as surgeon spots hidden detail that points to Jesus' resurrection I was so happy after trying a trendy new cosmetic procedure. But 10 years later I suffered a devastating side effect... the doctor had lied I'm no longer sleeping with my husband - and never will again, says MOLLY RYDDELL. I love him, but counted down the moments until he climaxed. Then I couldn't bear it any more and the truth spilled out... so many women feel the same The'middle-class kinks' saving marriages: Wives reveal the eight buzzy sex trends that revived their lagging libidos - including the fantasy husbands are secretly obsessed with I'm a woman with autism... here are the signs you might be masking, even from yourself Lori Loughlin's husband Mossimo Giannulli seen with mystery brunette in tiny skirt day after shock split Body count from Houston's bayous rises as serial killer whispers grip city and residents are told: 'Be vigilant' Realtor with expensive ex-wife arrested over shocking $11.6m claims about how he was funding Palm Beach lifestyle Trump dollar coin design released by Treasury... and it's inspired by the most iconic political photo of the century I've loved Taylor Swift for years. Mystery deepens over Hulk Hogan's death as his widow faces fresh anguish Warning as pasta salad is recalled due to risk of'fatal infections' The'weather bomb' that's going to RUIN your weekend: Scientists reveal the devastating system behind Storm Amy - and warn it could wreak havoc across the UK READ MORE: Map reveals when Storm Amy's weather bomb will hit The first storm of the season is nearly upon us, and it's set to be a particularly destructive one.